7,720 results
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2. Delivery Of Paper Gift Vouchers For Employees Of The Provincial Road Traffic Center In Poznan
- Subjects
Workers ,Traffic engineering ,Business, international - Abstract
Tenders are invited for delivery of paper gift vouchers for employees of the provincial road traffic center in poznan The subject of the order is a one-off delivery of paper [...]
- Published
- 2023
3. Characteristic Parameters Model of Traffic Flow in Ring Expressway Based on Physical Attributes
- Author
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Wang, Hua-lan, Xu, Jia-ying, Ma, Shu-mei, Kacprzyk, Janusz, Series Editor, Macioszek, Elżbieta, editor, and Sierpiński, Grzegorz, editor
- Published
- 2019
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- View/download PDF
4. Announcement Of The Outcome Of The Proceedingsdeliveriesdelivery Of Paper Gift Vouchers For Employees Of The Provincial Road Traffic Center In Poznan
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Workers ,Traffic engineering ,Business, international - Abstract
Contract awarded for Announcement of the outcome of the proceedings deliveries delivery of paper gift vouchers for employees of the provincial road traffic center in poznan Indicative contract value: The [...]
- Published
- 2023
5. Conceptual Multi-criteria Analysis of Road Traffic Safety Improvement for a Two-Lane Roundabout
- Author
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Szczuraszek, Tomasz, Szczuraszek, Paweł, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Macioszek, Elżbieta, editor, Akçelik, Rahmi, editor, and Sierpiński, Grzegorz, editor
- Published
- 2019
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- View/download PDF
6. A Modeling Algorithm to Network Flows in OTN Based on E1 Business
- Author
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Xia, Fei, Meng, Fanbo, Xia, Zongze, Huang, Xiaobo, Song, Li, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Yuan, Hanning, editor, Geng, Jing, editor, Liu, Chuanlu, editor, Bian, Fuling, editor, and Surapunt, Tisinee, editor
- Published
- 2018
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7. Crowdsourcing and Stigmergic Approaches for (Swarm) Intelligent Transportation Systems
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Distefano, Salvatore, Merlino, Giovanni, Puliafito, Antonio, Cerotti, Davide, Dautov, Rustem, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zu, Qiaohong, editor, and Hu, Bo, editor
- Published
- 2018
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8. The Comparison of Models for Critical Headways Estimation at Roundabouts
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Macioszek, Elżbieta, Kacprzyk, Janusz, Series editor, Macioszek, Elżbieta, editor, and Sierpiński, Grzegorz, editor
- Published
- 2017
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9. On Designing SDN Services for Energy-Aware Traffic Engineering
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Dias de Assunção, Marcos, Carpa, Radu, Lefèvre, Laurent, Glück, Olivier, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin Sherman, Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert Y., Series editor, Guo, Song, editor, Wei, Guiyi, editor, Xiang, Yang, editor, Lin, Xiaodong, editor, and Lorenz, Pascal, editor
- Published
- 2017
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- View/download PDF
10. Supply Of Folding Cot, Camp Chair, Target Tin Sheet Figure 11, Target Tin Sheet, Target Paper Figure 11, Target Paper 1x1, Emergency Light, Traffic Control Light, Vip Folder Combat, Reflector Jackets, Sentry Jacket Red, Nylon Rope, Laser Pointer, Board
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Nylon ,Traffic engineering ,Traffic regulations ,Business, international - Abstract
Tenders are invited for Supply of folding cot, camp chair, target tin sheet figure 11, target tin sheet, target paper figure 11, target paper 1x1, emergency light, traffic control light, [...]
- Published
- 2023
11. Traffic Analysis Based on Weigh-In-Motion System Data
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Loga, Wiktoria, Mikulski, Jerzy, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, and Mikulski, Jerzy, editor
- Published
- 2016
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12. Traffic Monitoring in Software Defined Networks Using Opendaylight Controller
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Luong, Duc-Hung, Outtagarts, Abdelkader, Hebbar, Abdelkrim, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Boumerdassi, Selma, editor, Renault, Éric, editor, and Bouzefrane, Samia, editor
- Published
- 2016
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13. A Context-Aware Traffic Engineering Model for Software-Defined Networks
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Nguyen, Phuong T., Le, Hong Anh, Zinner, Thomas, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Vinh, Phan Cong, editor, Vassev, Emil, editor, and Hinchey, Mike, editor
- Published
- 2015
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14. ROAD TRAFFIC AND SAFETY SERVICES invites tenders for Procurement of Card Laminators
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Purchasing ,Traffic safety ,Paper converting machinery ,Traffic engineering ,News, opinion and commentary - Abstract
ROAD TRAFFIC AND SAFETY SERVICES, Malawi has invited tenders for Procurement of Card Laminators. Tender Notice No: 400/IPDC/DRTSS/RFQ/24-25/006 Deadline: July 10, 2024 Copyright © 2011-2022 pivotalsources.com. All rights reserved. Provided [...]
- Published
- 2024
15. Low-carbon VRP for cold chain logistics considering real-time traffic conditions in the road network
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Bai, Qinyang, Yin, Xaioqin, Lim, Ming K., and Dong, Chenchen
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- 2022
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16. SMART TRAFFIC CONTROL SYSTEM FOR CONGESTION CONTROL.
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MISHRA, POOJA, PATIL, SUVARNA, and BHENDE, MANISHA
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TRAFFIC signal control systems ,TRAFFIC engineering ,EMERGENCY vehicles ,RADIO frequency identification systems ,ELECTRONIC paper - Abstract
This paper presents a smart traffic signal system for congestion control and smooth clearance for an emergency vehicle. Every vehicle is equipped with an RFID Tag which is placed in such a way that it cannot be tampered with or removed. We use an RFID reader and Raspberry Pi3 system-on-chip to read the RFID tags equipped vehicle. It counts the number of vehicles that pass on a particular lane during a specified duration. It also determines the network congestion, and according to that the green signal duration for the lane is decided. In addition, if an RFID tag of a vehicle is detected in the stolen vehicle records, then a message would be sent to the police control room using the GSM Module (SIM800) and can be tracked. For the emergency vehicle, when it is approaching the junction, using the RF module with Arduino Uno system-on-chip for wireless communication between the vehicle and the traffic controller, will notify the controller to turn the signals green. [ABSTRACT FROM AUTHOR]
- Published
- 2021
17. Design and Construction of a Motorway Cavern in Faulted Hawkesbury Sandstone, Sydney.
- Author
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Stocker, R., de Ambrosis, A., and Estrada, B.
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EXPRESS highways ,TRAFFIC engineering ,STRUCTURAL dynamics ,TUNNEL design & construction - Abstract
The Rozelle Interchange Project (RIC) is the fourth underground section of Sydney's WestConnex Motorway that is due to open to traffic in late 2023. The project comprises over 22 km of tunnels located over multiple levels, all constructed in an area 2.5 km long and 1.5 km wide. The geological and structural model developed for the project identified a previously un-known regional low-angle fault zone, "Fault 1", and zones of structural complexity that heavily impacted tunnel design. These geological structures were projected to be encountered by numerous RIC infrastructure including mainline tunnels, ventilation tunnels, cross passages, caverns and tunnel rock pillars. This paper discusses the design of a 26 m span cavern "Cavern 5" that intersected Fault 1 at the Cavern 5 pillar between two merging tunnels and a rock bridge between the mainline tunnel and an overlying ramp tunnel. This paper describes the development of the ground model with particular emphasis on the location, orientation and characteristics of "Fault 1". Expected ground conditions are then compared to the actual, encountered ground conditions. The ground support design and excavation staging for the cavern and adjoining tunnels is detailed together with measures to mitigate the risk of tunnel instability associated with "Fault 1". Finally, measured in-tunnel and surface displacements and observations are compared to the expected ground response. Lessons learnt, are discussed and recommendations presented for future design. [ABSTRACT FROM AUTHOR]
- Published
- 2023
18. Multi-lane's control performance differentiation on traffic efficiency under the lane-level dynamic coordination strategy.
- Author
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Fu, Xin, Lv, Xiahe, Yang, Frank, Wang, Xue, and Wang, Jianwei
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TRAFFIC flow ,TRAFFIC congestion ,LANE changing ,TRAFFIC engineering ,CELLULAR automata ,TRAFFIC signs & signals - Abstract
Under the context of rapid development of the Internet of vehicles and vehicle-road collaboration system, active traffic management (ATM) becoming the mainstream means of road traffic control and developing toward refinement. In this paper, to study the high-precision lane-level dynamic induction control strategy in different scenarios, based on the NaSch model of cellular automata and combined with the characteristics of the failure section area, a fuzzy lane-changing bypass vehicle-following model considering lane-changing pressure in multi-lane failure scenarios was built. The simulation results show that (i) if the lane failure occurs on the middle lane, the lane should be induced in advance, and the induced lane change effect is the best at about 100 m. When the lane failure occurs in the left lane and right lane, the prompt is best at about 250 m. (ii) The induced distance should be based on actual traffic conditions, free combination of different early warning distances between 100 and 300 m can save about 20–30 s congestion time. (iii) The lane-level dynamic coordinated guidance control measures can effectively improve the road traffic efficiency compared with the static unified control measures, improve the traffic efficiency of road performance, and alleviate traffic congestion time. The conclusion of this paper can provide some reference for dynamic active control management and achieve higher accuracy of traffic flow lane-level control. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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19. A lightweight license plate detection algorithm based on deep learning.
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Zhu, Shuo, Wang, Yu, and Wang, Zongyang
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AUTOMOBILE license plates ,DEEP learning ,INTELLIGENT transportation systems ,TRAFFIC engineering ,ALGORITHMS ,COMPUTATIONAL complexity - Abstract
License plate detection is an important task in Intelligent Transportation Systems (ITS) and has a wide range of applications in vehicle management, traffic control, and public safety. In order to improve the accuracy and speed of mobile recognition, an improved lightweight YOLOv5s model is proposed for license plate detection. First, an improved Stemblock network is used to replace the original Focus layer in the network, which ensures strong feature expression capability and reduces a large number of parameters to lower the computational complexity; then, an improved lightweight network, ShuffleNetv2, is used to replace the backbone network of the YOLOv5s, which makes the model lighter and ensures the detection accuracy at the same time. Then, a feature enhancement module is designed to reduce the information loss caused by the rearrangement of the backbone network channels, which facilitates the information interaction in the feature fusion process; finally, the low‐, medium‐ and high‐level features in the Shufflenetv2 network structure are fused to form the final high‐level output features. Experimental results on the CCPD dataset show that compared to other methods this paper obtains better performance and faster speed in the license plate detection task, in which the average precision mean value reaches 96.6%, and can achieve a detection speed of 43.86 frame/s, and the parameter volume is reduced to 5.07 M. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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20. Peak car: The first signs of a shift towards ICT-based activities replacing travel? A discussion paper.
- Author
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Wee, Bert van
- Subjects
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INFORMATION & communication technologies , *TRAFFIC engineering , *TECHNOLOGICAL innovations , *LONG waves (Economics) , *STATISTICAL hypothesis testing - Abstract
This discussion/viewpoint paper hypothesizes that the recent trend amongst young people to be less car-oriented than previous generations could be a sign of a transition towards more ICT-based activity patterns and accessibility. This transition can be clarified using theories from the areas of innovation and long waves. If such a hypothesis is true it is has major implications for travel and activity behavior, and the concept of accessibility. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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21. Model test study on the mechanical response of the deep buried tunnel lining.
- Author
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Duan, Longyan, Feng, Jimeng, Song, Jiadai, and Yao, Shiyu
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TUNNEL lining ,TUNNELS ,STRUCTURAL analysis (Engineering) ,STRUCTURAL stability ,REINFORCING bars ,TENSILE strength ,TRAFFIC engineering ,EXCAVATION - Abstract
Deep-buried tunnels with weak surrounding rock are frequently encountered issues in traffic engineering. It plays an important role in the excavation process and the project operation. This paper applies the theoretical analysis and laboratory test related to four different conditions in terms of their thickness to determine the mechanical response of deep-buried tunnel lining. Then, the energy dissipative structure theory is employed to explain the experimental results. This paper has made the following achievements: firstly, it is found that the toughness of the secondary lining was found to be often the most important indicator of tunnel safety, with better-toughness linings having higher tensile strength and crack resistance. Secondly, it suggests that the inclusion of steel reinforcement in the concrete lining can effectively improve the secondary lining toughness. Finally, it proves that the more ductile liner had more energy, higher load-carrying capacity, and was better able to maintain the overall stability of the structure. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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22. Using packet trimming at the edge for in-network video quality adaption.
- Author
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Tüker, Mustafa, Karakış, Emre, Sayıt, Müge, and Clayman, Stuart
- Abstract
This paper describes the effects of running in-network quality adaption by trimming the packets of layered video streams at the edge. The video stream is transmitted using the BPP transport protocol, which is like UDP, but has been designed to be both amenable to trimming and to provide low-latency and high reliability. The traffic adaption uses the Packet Wash process of Big Packet Protocol (BPP) on the transmitted Scalable Video Coding (SVC) video streams as they pass through a network function which is BPP-aware and embedded at the edge. Our previous work has either demonstrated the use of Software Defined Networking (SDN) controllers to implement Packet Wash directly, or the use of a network function in the core of the network to do the same task. This paper presents our effort to deploy and evaluate such a process at the edge, highlighting the packet trimming algorithm and showing the packet trimming effects on the streams. We compare the performance of transmitting video using BPP and the Packet Wash trimming, against alternative transmission schemes, namely UDP and HTTP adaptive streaming (HAS), presenting a number of quality parameters. The results demonstrate that providing traffic engineering using in-network quality adaption using packet trimming, provides high quality at the receiver. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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23. Practical applications of novel methodologies to real cases: Selected papers from the XIII Pan-American conference on traffic and transportation engineering (PANAM 2014).
- Author
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Ibeas, Angel, dell’Olio, Luigi, and Moura, José Luis
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- *
CONFERENCES & conventions , *TRAFFIC engineering , *TRANSPORTATION engineering , *PUBLIC institutions - Published
- 2016
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24. Call for Papers.
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OPTICAL communications , *SOFTWARE-defined networking , *INTERNET traffic , *EMAIL , *TRAFFIC engineering - Abstract
The article discusses call for papers which aims at investigating recent advances in traffic management designed for distributed wired packet networks. Topics discussed include rising focus on centrally managed networks with efficient traffic management solutions, after advent of Software-Defined Networking; focus to apply artificial intelligence for increasing network efficiency; and evaluation of new traffic management techniques, multipath transmissions, and congestion control mechanisms.
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- 2021
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25. Cooperative MARL-PPO Approach for Automated Highway Platoon Merging.
- Author
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Kolat, Máté and Bécsi, Tamás
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TRAFFIC engineering ,REINFORCEMENT learning ,TRAFFIC flow ,DEEP learning ,ENERGY consumption - Abstract
This paper presents a cooperative highway platooning strategy that integrates Multi-Agent Reinforcement Learning (MARL) with Proximal Policy Optimization (PPO) to effectively manage the complex task of merging. In modern transportation systems, platooning—where multiple vehicles travel closely together under coordinated control—promises significant improvements in traffic flow and fuel efficiency. However, the challenge of merging, which involves dynamically adjusting the formation to incorporate new vehicles, remains challenging. Our approach leverages the strengths of MARL to enable individual vehicles within a platoon to learn optimal behaviors through interactions. PPO ensures stable and efficient learning by optimizing policies balancing exploration and exploitation. Simulation results show that our method achieves merging with safety and operational efficiency. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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26. Software-Defined Wide Area Networks (SD-WANs): A Survey.
- Author
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Fu, Chunle, Wang, Bailing, and Wang, Wei
- Subjects
ENGINEERING services ,COMPUTER systems ,TRAFFIC engineering ,MATHEMATICAL optimization ,SOFTWARE-defined networking ,WIDE area networks - Abstract
SD-WANs are an innovative software-defined network (SDN) technology used to reinvent networks, services, and applications in wide area network (WANs). The development of SD-WANs ranges from network optimization in the past to service provision platforms at present and distributed computing systems in the future. The existing surveys on SD-WANs are fragmented, covering specific problems only, and are not comprehensive with detailed research directions. This paper seeks to provide a systematic survey on SD-WANs by introducing major research directions and stating specific problems. Therefore, four major research directions related to traffic engineering, network optimization and systems, service orchestration, and the security issues of SD-WANs are sequentially introduced, along with detailed statements relating to specific problems and the classification of state-of-the-art research. Finally, the trends and challenges regarding SD-WANs are summarized and our future work is described. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
27. An interlocking system determining the configuration of rail traffic control elements to ensure safety.
- Author
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Hernando, Antonio, Aguilera-Venegas, Gabriel, Luis Galán-García, José, and Nazary, Sheida
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TRAFFIC engineering ,RAILROAD stations ,RAILROADS ,COMPUTER systems ,RESEARCH personnel - Abstract
Railway interlocking systems are essential safety components in rail transportation, designed to prevent train collisions. They regulate the transitions between sections of a railway station using rail traffic control elements. An interlocking system can assess whether the configuration of these control elements poses a collision risk. Over the years, researchers have developed various algebraic models to tackle this issue, highlighting the potential use of computer algebra systems in implementing interlocking systems. In this work, we aim to enhance these systems' capabilities. Not only will they indicate whether a situation is dangerous, but if it is, they will also provide guidance on how to configure certain rail traffic control elements to ensure safety. In this paper, we introduce an algebraic model that represents the railway station through polynomials. This approach transforms the task of identifying dangerous situations into calculating the residue of a polynomial over a set of polynomials. The monomials contained in this residue polynomial encode all possible configurations that would render the situation safe. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
28. Research on Intelligent Control of Traffic Signal Lights Based on Infrared Sensors.
- Author
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LIN WEI and QIANQIAN HE
- Subjects
TRAFFIC flow ,INTELLIGENT control systems ,TRAFFIC signs & signals ,TRAFFIC engineering ,TRAFFIC congestion - Abstract
The current traffic signal light timing scheme cannot effectively solve the problem of traffic congestion. This paper studied the intelligent control of signal lights based on infrared sensors. Firstly, the traffic flow was detected by infrared sensors; then, the future traffic flow was predicted using a back-propagation neural network; an intelligent control algorithm was designed based on the prediction results, and data were collected at the actual intersection for simulation experiments. It was found that the maximum and minimum root-mean-square error (RMSE) value of the BPNN prediction were 72.33 and 45.77, respectively, i.e., BPNN could predict the traffic flow accurately. Then, in the comparison of timing schemes, the maximum average queuing delay time of the BPNN was 0.55 s, and the maximum average queuing length was 92 m in the case of large traffic flow, both of which were better than the traditional fixed timing scheme. The results prove the reliability of the proposed signal light intelligent control algorithm. The algorithm can be further applied in practice. [ABSTRACT FROM AUTHOR]
- Published
- 2024
29. Novel Intelligent Traffic Light Controller Design.
- Author
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Zahwa, Firas, Cheng, Chi-Tsun, and Simic, Milan
- Subjects
URBAN transportation ,TRAFFIC flow ,TRAFFIC engineering ,FUZZY algorithms ,FUZZY logic - Abstract
Efficient traffic flow management at intersections is vital for optimizing urban transportation networks. This paper presents a comprehensive approach to refining traffic flow by analyzing the capacity of roads and integrating fuzzy logic-based traffic light control systems. We examined the capacity of roads connecting intersections, considering factors such as road vehicle capacity, vehicle speed, and traffic flow volume, through detailed mathematical modeling and analysis. Control is determined by the maximum capacity of each road segment, providing valuable insights into traffic flow dynamics. Building upon this capacity and flow analysis, the research introduces a novel intelligent traffic light controller (ITLC) system based on fuzzy logic principles. By incorporating real-time traffic data and leveraging fuzzy logic algorithms, our ITLC system dynamically adjusts traffic light timings to optimize vehicle flow at two intersections. The paper discusses the design and implementation of the ITLC system, highlighting its adaptive capabilities in response to changing traffic conditions. Simulation results demonstrate the effectiveness of the ITLC system in improving traffic flow and reducing congestion at intersections. Furthermore, this research provides an analysis of the mathematical models used to calculate road capacity, offering insights into the underlying principles of traffic flow optimization. Through the simulation, we have validated the accuracy and reliability of our controller. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
30. EVALUATING THE IMPACT OF URBAN ROAD PRICING ON THE USE OF GREEN TRANSPORT MODES: THE CASE OF MILAN -- ENVIRONMENT WORKING PAPER Nº 143.
- Author
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Cornago, Elisabetta, Dimitropoulos, Alexandros, and Oueslati, Walid
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CHOICE of transportation ,CONGESTION pricing ,TRAFFIC congestion ,CITY dwellers ,TRAFFIC engineering - Abstract
Copyright of OECD Environment Working Papers is the property of Organisation for Economic Cooperation & Development and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2019
31. 100 Years of the Ubiquitous Traffic Lights: An All-Round Review.
- Author
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Kulkarni, Ashish R., Kumar, Narendra, and Ramachandra Rao, K.
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AUTONOMOUS vehicles ,TRAFFIC signs & signals ,TRAVEL delays & cancellations ,RESEARCH personnel ,TRAFFIC engineering - Abstract
Three-colour four-way traffic light completed 100 years in 2020. Even though the traffic light in the form of Semaphore arms has been in use in London since 1868, electric traffic lights came into existence in 1912 and the standard three-colour four-way light in 1920. Research is continuously being carried out to develop better algorithms to improve safety, reduce travel delays, and optimize road capacity. Hence a review of the evolution of traffic lights is warranted. This paper presents an all-round review using a six-prong approach. Timeline of the evolution of the literature in the last 100 years, the evolution of hardware, algorithms, traffic control schemes, standards and the pedestrian lights and count down timer are the six areas in which the review is carried out. A timeline of the different keywords related to the various algorithms in use is presented. This article delves into the thinking and meticulous approach of early researchers and practitioners of the field while dwelling on the past. They laid the rock-solid foundation of today's research. Also, future research areas like connected vehicles and automated vehicles are pointed out, and a summary of the findings is presented at the end. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
32. Modeling the Deployment and Management of Large-Scale Autonomous Vehicle Circulation in Mixed Road Traffic Conditions Considering Virtual Track Theory.
- Author
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Hou, Kaiwen and Giannopoulos, George
- Subjects
AUTONOMOUS vehicles ,TRAFFIC engineering ,AUTOMATION ,PARTICLE swarm optimization ,ORGANIZATION management - Abstract
This paper offers a novel view for managing and controlling the movement of driverless, i.e., autonomous, vehicles by converting this movement to a simulated train movement moving on a rail track. It expands on the "virtual track" theory and creates a model for virtual track autonomous vehicle management and control based on the ideas and methods of railway train operation. The developed model and adopted algorithm allow for large-scale autonomous driving vehicle control on the highway while considering the temporal-spatial distribution of vehicles, temporal-spatial trajectory diagram optimization, and the management and control model and algorithm for autonomous vehicles, as design goals. The ultimate objective is to increase the safety of the road traffic environment when autonomous vehicles are operating in it together with human-driven vehicles and achieve more integrated and precise organization and scheduling of these vehicles in such mixed traffic conditions. The developed model adopted a "particle swarm" optimization algorithm that is tested in a hypothetical network pending a full-scale test on a real highway. The paper concludes that the proposed management and control model and algorithm based on the "virtual track" theory is promising and demonstrates feasibility and effectiveness for further development and future application. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
33. Variable Speed Limit Control for Mixed Traffic Flow on Highways Based on Deep-Reinforcement Learning.
- Author
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Heyao Gao, Hongfei Jia, Ruiyi Wu, Qiuyang Huang, Jingjing Tian, Chao Liu, and Xiaochao Wang
- Subjects
TRAFFIC flow ,TRAFFIC engineering ,SPEED limits ,DEEP learning ,MARKOV processes ,TRAFFIC safety - Abstract
With the development of autonomous driving, a mixed traffic flow state composed of connected automated vehicles (CAVs) and human-driven vehicles (HVs) will last for an extended period. The abundant computing resources and CAVs with high compliance in the intelligent connected environment provide a good situation for variable speed limit control on highways, which helps even the traffic flow and improves traffic efficiency and safety. In this paper, we propose a variable speed limit control method for mixed traffic flow based on deep-reinforcement learning. First, the variable speed limit control problem is abstracted into a Markov decision process and the factors of real-time CAV penetration rates and predictions are considered in the state description. Different from variable message signs (VMS), CAVs are taken as the executive objects of the controller so that the variable speed limit control for mixed traffic flow is realized indirectly through the interaction with HVs. Next, double deep Q network (DDQN) is introduced to calculate the optimal speed limit in different states. Finally, the empirical study on US101-S proves the effectiveness of the proposed model. The results show that the variable speed limit control model based on the DDQN algorithm can effectively improve the efficiency and environmental benefits of mixed traffic flow. Moreover, the multi-objective reward function can achieve a better control effect than the single objective. Besides, the proposed model outperforms other models in this paper and predictive factors can further improve proactive control performance. In addition, with the increasing penetration of CAV, the proposed model achieves a better control effect. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
34. The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi'an, China.
- Author
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Xiang, Wang, Wang, Zezhi, Pan, Xin, Liu, Xiaobing, Yan, Xuedong, and Chen, Li
- Subjects
TRAFFIC engineering ,COVID-19 pandemic ,ECONOMIC development ,PEARSON correlation (Statistics) - Abstract
Selecting an appropriate intensity of epidemic prevention and control measures is of vital significance to promoting the two-way dynamic coordination of epidemic prevention and control and economic development. In order to balance epidemic control and economic development and suggest scientific and reasonable traffic control measures, this paper proposes a SEIQR model considering population migration and the propagation characteristics of the exposed and the asymptomatic, based on the data of COVID-19 cases, Baidu Migration, and the tourist economy. Further, the factor traffic control intensity is included in the model. After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. With Xi'an City as an example. The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. With the continuous rise of traffic control intensity in different simulation scenarios, the cumulative number of cases decreases by a significant amplitude. While balancing the requirements for epidemic prevention and control and for tourist economy development, the model works out the control intensity to be 0.68, under which some traffic control measures are suggested. The model presented in this paper can be used to analyze the impacts of different traffic control intensities on epidemic transmission. The research results in this paper reveal the traffic control measures balancing the requirements for epidemic prevention and control and for economic development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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35. Future Sustainable Internet Energy-Defined Networking.
- Author
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Galis, Alex
- Subjects
SUSTAINABILITY ,TRAFFIC engineering ,INTERNET ,ENERGY consumption ,CONSUMPTION (Economics) ,IMAGE registration ,SOFTWARE-defined networking - Abstract
This paper presents a comprehensive set of design methods for making future Internet networking fully energy-aware and sustainably minimizing and managing the energy footprint. It includes (a) 41 energy-aware design methods, grouped into Service Operations Support, Management Operations Support, Compute Operations Support, Connectivity/Forwarding Operations Support, Traffic Engineering Methods, Architectural Support for Energy Instrumentation, and Network Configuration; (b) energy consumption models and energy metrics are identified and specified. It specifies the requirements for energy-defined network compliance, which include energy-measurable network devices with the support of several control messages: registration, discovery, provisioning, discharge, monitoring, synchronization, flooding, performance, and pushback. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
36. Deep Reinforcement Learning for Ecological and Distributed Urban Traffic Signal Control with Multi-Agent Equilibrium Decision Making.
- Author
-
Yan, Liping and Wang, Jing
- Subjects
DEEP reinforcement learning ,TRAFFIC signs & signals ,TRAFFIC engineering ,CITY traffic ,THERMODYNAMIC control ,REINFORCEMENT learning ,DISTRIBUTED algorithms - Abstract
Multi-Agent Reinforcement Learning (MARL) has shown strong advantages in urban multi-intersection traffic signal control, but it also suffers from the problems of non-smooth environment and inter-agent coordination. However, most of the existing research on MARL traffic signal control has focused on designing efficient communication to solve the environment non-smoothness problem, while neglecting the coordination between agents. In order to coordinate among agents, this paper combines MARL and the regional mixed-strategy Nash equilibrium to construct a Deep Convolutional Nash Policy Gradient Traffic Signal Control (DCNPG-TSC) model, which enables agents to perceive the traffic environment in a wider range and achieves effective agent communication and collaboration. Additionally, a Multi-Agent Distributional Nash Policy Gradient (MADNPG) algorithm is proposed in this model, which is the first time the mixed-strategy Nash equilibrium is used for the improvement in the Multi-Agent Deep Deterministic Policy Gradient algorithm traffic signal control strategy to provide the optimal signal phase for each intersection. In addition, the eco-mobility concept is integrated into MARL traffic signal control to reduce pollutant emissions at intersections. Finally, simulation results in synthetic and real-world traffic road networks show that DCNPG-TSC outperforms other state-of-the-art MARL traffic signal control methods in almost all performance metrics, because it can aggregate the information of neighboring agents and optimize the agent's decisions through gaming to find an optimal joint equilibrium strategy for the traffic road network. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
37. A Study of Adjacent Intersection Correlation Based on Temporal Graph Attention Network.
- Author
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Li, Pengcheng, Dong, Baotian, and Li, Sixian
- Subjects
TRAFFIC engineering ,TRAFFIC flow ,INFORMATION theory ,TIME-varying networks ,ENTROPY (Information theory) ,GRAPH algorithms ,INTERSECTION graph theory - Abstract
Traffic state classification and relevance calculation at intersections are both difficult problems in traffic control. In this paper, we propose an intersection relevance model based on a temporal graph attention network, which can solve the above two problems at the same time. First, the intersection features and interaction time of the intersections are regarded as input quantities together with the initial labels of the traffic data. Then, they are inputted into the temporal graph attention (TGAT) model to obtain the classification accuracy of the target intersections in four states—free, stable, slow moving, and congested—and the obtained neighbouring intersection weights are used as the correlation between the intersections. Finally, it is validated by VISSIM simulation experiments. In terms of classification accuracy, the TGAT model has a higher classification accuracy than the three traditional classification models and can cope well with the uneven distribution of the number of samples. The information gain algorithm from the information entropy theory was used to derive the average delay as the most influential factor on intersection status. The correlation from the TGAT model positively correlates with traffic flow, making it interpretable. Using this correlation to control the division of subareas improves the road network's operational efficiency more than the traditional correlation model does. This demonstrates the effectiveness of the TGAT model's correlation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
38. A Graphical Approach to Automated Congestion Ranking for Signalized Intersections Using High-Resolution Traffic Signal Event Data.
- Author
-
Wang, Peirong (Slade), Khadka, Swastik, and Li, Pengfei (Taylor)
- Subjects
SIGNALIZED intersections ,TRAFFIC signs & signals ,TRAFFIC congestion ,PARETO analysis ,TRAFFIC monitoring ,TRAFFIC engineering ,MATHEMATICAL optimization - Abstract
In recent years, high-resolution traffic signal event data has provided valuable insights into understanding and managing congestion at signalized intersections. While existing applications primarily employ automated traffic signal performance monitoring (ATSPM) systems as postanalysis tools for identifying everyday congestion causes, traffic engineers are increasingly overwhelmed by the number of ATSPM-capable intersections. The workload increases extensively as the number of ATSPM-capable intersections rises mainly due to the necessity of manually checking and generating performance figures. Nonetheless, an advanced ATSPM system capable of automatically detecting time-of-day congestion bottlenecks among multiple intersections and suggesting "top intersections of interest" would significantly aid traffic managers in monitoring historical congestion and preventing future congestion occurrences. This paper introduces an efficient graphical automated congestion ranking method for capable intersections, leveraging high-resolution traffic signal event data as the basis for automated congestion ranking. To accomplish these objectives, we build upon ATSPM concepts by continuously generating ATSPM measures of effectiveness (MOEs). Utilizing continuously generated ATSPM performance measures in Frisco, Texas, over several months, we devise an efficient graphical method for ranking hourly congestion levels among the studied ATSPM-capable intersections. All intersections are assessed and ranked using a multiobjective optimization technique, the Pareto front method. The points on the Pareto front represent dominating intersections with at least one inferior performance measurement, warranting prioritized improvement. The dominating points identified from the test dataset were validated and further explained using Purdue coordination diagrams (PCD), along with another individual dataset--Wejo-connected vehicle data. The outcomes of this approach have proven the validity of the method. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
39. SUDC: Synchronous Update with the Division and Combination of SRv6 Policy.
- Author
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Liu, Yuze, Wu, Weihong, Wang, Ying, Liu, Jiang, and Yang, Fan
- Subjects
TRAFFIC engineering ,INTERNET protocol version 6 ,MULTICASTING (Computer networks) ,SCALABILITY ,VEHICLE routing problem - Abstract
With the expansion of network scale, new network services are emerging. Segment Routing over IPv6 (SRv6) can meet the diverse needs of more new services due to its excellent scalability and programmability. In the intelligent 6-Generation (6G) scenario, frequent SRv6 Traffic Engineering (TE) policy updates will result in the serious problem of unsynchronized updates across routers. Existing solutions suffer from issues such as long update cycles or large data overhead. To optimize the policy-update process, this paper proposes a scheme called Synchronous Update with the Division and Combination of SRv6 Policy (SUDC). Based on the characteristics of the SRv6 TE policy, SUDC divides the policies and introduces Bit Index Explicit Replication IPv6 Encapsulation (BIERv6) to multicast the policy blocks derived from policy dividing. The contribution of this paper is to propose the policy-dividing and combination mechanism and the policy-dividing algorithm. The simulation results demonstrate that compared with the existing schemes, the update overhead and update cycle of SUDC are reduced by 46.71% and 46.6%, respectively. The problem of unsynchronized updates across routers has been further improved. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
40. STUDY OF STEPS IN THE VISUM SOFTWARE FOR CREATING A MACROSCOPIC MODEL FOR PUBLIC TRANSPORT, FOR EXAMPLE FOR THE CITY OF PRILEP.
- Author
-
Vaska, Atanasova and Marija, Stojanoska
- Subjects
PUBLIC transit ,TRAFFIC engineering ,URBANIZATION ,COMPUTER software ,ROAD users ,TRAFFIC estimation ,URBAN planning ,SUSTAINABLE development ,DATA management - Abstract
The PTV VISION VISUM software tool, which is the world's leading traffic analysis, forecasting and data management software that reliably models all road users and their interactions. The subject of analysis in this paper will be the planning of a sustainable urban transport system, in this case the public transport of the city of Prilep with the help of the software tool PTV VISION VISUM. In the paper that is dedicated to public transport, i.e. the steps that must be taken to obtain the sizes, from the creation of an operator, type of public transport, coordination group, placement of stands, lines of public transport, matrixes, uses, rewritings and similarly. The outputs will be shown as a combination of private and public transport and the application of the modal distribution of trips with the help of a legend and a detailed description of the elements of the pad. In addition to the VISUM software tool, the VISSIM tool will also be shown, with the help of which we will simulate the movement of the public city transport in the city of Prilep. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
41. A review of road safety evaluation methods based on driving behavior.
- Author
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Zijun Du, Min Deng, Nengchao Lyu, and Yugang Wang
- Subjects
ROAD safety measures ,AUTOMOBILE driving ,ROAD construction ,TRAFFIC engineering ,INFORMATION technology ,INFORMATION processing - Abstract
Road traffic safety should be evaluated throughout the entire life-cycle of road design, operation, maintenance, and expansion construction. However, traditional methods for evaluating road traffic safety based on traffic accidents and conflict technology are limited by their inability to account for the complex environmental factors involved. To address this issue, a new road safety evaluation method has emerged that is based on driving behavior. Because drivers' behaviors may vary depending on the driving environment and their personal characteristics, evaluating road safety from the perspective of driver behavior has become a popular research topic. This paper analyzes current research trends and mainstream journals in the field of road safety evaluation of driving behavior. Additionally, it reviews the three most commonly used driving behavior data collection methods, and compares the advantages and disadvantages of each. The paper proposes the main application scenarios of road safety evaluation methods based on driving behavior, such as road design, evaluation of the effects of road appurtenances, and intelligent highways. Furthermore, the paper summarizes a driving behavior index system based on vehicle data, driver's physiological and psychological data, and driver's subjective questionnaire data. A comprehensive evaluation method based on the fusion of each index system is presented in detail. Finally, the paper points out current research problems and the future development direction of the road safety evaluation method based on driving behavior. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
42. Efficiency of Vehicle Actuated traffic control on isolated intersection.
- Author
-
Ćiprovski, Dejan, Makarov, Aleksej, and Vučetić, Miljan
- Subjects
TRAFFIC engineering ,TRAFFIC signs & signals ,SIMULATION games ,ALGORITHMS ,VEHICLES - Abstract
This paper is described different strategies for traffic control and simulation, namely - Vehicle Actuated (VA) compared to Fixed Time (FT) traffic control. We are comparing and evaluating the impact of FT and adaptive traffic signal control strategies for one of the biggest and busiest intersections in Tashkent, the capital of Uzbekistan. The parameters used for comparing these strategies are the average vehicle travel times and average vehicle queue lengths. TRL TRANSYT 15 software was used to determine the fixed signal timing plan based on intersection geometry, inter-green matrix, and traffic flow. PTV VISSIM software is used for VA algorithm development and simulation to get the maximum and average vehicle travel times as well as queue lengths. It is shown that the parameter optimization can reduce the queue lengths down to 65% and the travel time down to 51%. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
43. Optimization of ACC System Spacing Policy on Curved Highway.
- Author
-
Jun Ma, Kun Qian, and Zaiyan Gong
- Subjects
VEHICLE spacing ,CURVATURE ,TRAFFIC density ,TRAFFIC safety ,TRAFFIC engineering - Abstract
The paper optimizes the original spacing policy when adopting VTH (Variable Time Headway), proposes to introduce the road curve curvature K to the spacing policy to cope with following the wrong vehicle or failing to follow the vehicle owing to the radar limitation of curve in ACC system. By utilizing MATLAB/Simulink, automobile longitudinal dynamics model is established. At last, the paper sets up such three common cases as the vehicle ahead runs at a uniform velocity, an accelerated velocity and hits the brake suddenly, simulates these cases on the curve with different curvature, analyzes the curve spacing policy in the perspective of safety and vehicle following efficiency and draws the conclusion whether the optimization scheme is effective or not. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
44. Smart Traffic Control in Vehicle Ad-Hoc Networks: A Systematic Literature Review.
- Author
-
Cunha, Benedito, Brito, Carlos, Araújo, Gabriel, Sousa, Rayner, Soares, André, and Silva, Francisco Airton
- Subjects
TRAFFIC engineering ,TRAFFIC signs & signals ,VEHICULAR ad hoc networks ,INFORMATION sharing ,DRIVER assistance systems ,CITY traffic - Abstract
Vehicle traffic in large cities is increasing every day. Despite the significant development of telecommunications, communication between such vehicles must still evolve to make mobility smarter. Many studies have been carried out to enable a network between vehicles and computational infrastructures, called Vehicular Ad-Hoc Networks (VANETs). Within the context of VANETs, traffic lights can play an important role in exchanging information with vehicles to reduce congestion. Intelligent traffic lights aim to manage intersections in urban traffic and avoid idle roads. Several research topics have already been explored related to smart traffic control such as network latency, people safety, driver assistance, among others. However, given the variety of problems and solutions, it is complex to identify research trends and gaps related to smart traffic field without a systematic review. This paper presents a systematic review of smart traffic in the context of VANETs. The paper selection was started with 1117 works followed with three processes of refinement wherein 115 papers were selected to thorough revision. The remaining 115 papers were cataloged and classified according to three criteria general focus, evaluation method, and communication type. The review revealed research gaps and trends in the area of smart traffic. This work provides a list of references to find the mapped papers, thus being able to guide more reliable research studies. Besides, we identify research challenges and directions based on the set of papers that were studied. The research challenges are presented according to the main topics explored in this systematic review: security, physical safety of people and protocols. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
45. USING GEOGRAPHIC INFORMATION SYSTEMS TO IMPROVE TRANSPORTATION PLANNING IN NORTH MACEDONIA.
- Author
-
Sejdini, Xhemile and Sinani, Feta
- Subjects
GEOGRAPHIC information systems ,TRANSPORTATION planning ,TRAFFIC engineering ,VISUALIZATION - Abstract
The development of Geographic Information Systems (GIS) has been driven by advancements in computing technology and data collection methods. GIS has become a critical tool in transportation planning, enabling planners to store, analyze, and visualize spatial data related to transportation networks, land use patterns, and population distribution. GIS are powerful tool that enable the capture, storage, manipulation, analysis, and presentation of geographic data. In the Republic of North Macedonia, GIS has been successfully applied in various sectors, including traffic engineering. This paper provides an overview of GIS and its components, followed by a discussion of successful GIS projects in Macedonia. The paper then explores how GIS can be better utilized in North Macedonia, including enhancing data quality, expanding GIS use, collaboration and data sharing, capacity building, and public engagement. By leveraging the power of GIS, Macedonia can better address complex challenges and achieve sustainable development. [ABSTRACT FROM AUTHOR]
- Published
- 2023
46. Comparisons on methods for identifying accident black spots using vehicle kinetic parameters collected from road experiments.
- Author
-
Yang Xu, Changjian Zhang, Jie He, Ziyang Liu, Yikai Chen, and Hao Zhang
- Subjects
GRAPE anthracnose ,TRAFFIC engineering ,MICROSCOPY ,CHEMICAL kinetics ,DATA analysis - Abstract
Identification of accident black spots has gained tremendous popularity among road agencies and safety specialists for evaluating and subsequently enhancing road traffic safety. However, there is still limited understanding of the internal relationship between black spots and microscopic vehicle kinetic parameters. To address this gap, this paper describes a project that was undertaken using the real-time tire force data (kinetic response) obtained from road experiments on Wenli Expressway. First, factor analysis was applied to extracted three independent indicators (power-braking, handling stability, and ride comfort) from seven original kinetic indicators with multiple collinearities. Afterward, the main indicators were given vehicle kinetic meaning by analyzing the characteristics of original indicators associated with them. A compelling correlation was established among kinetic parameters, vehicle running qualities, and accident risk. Additionally, an integrated evaluation framework was established to identify accident black spots based on applying ordered logit models and PLS-entropy-TOPSIS approaches. The recognition results exhibited that the overall recognition accuracy obtained by the latter was found to be comparable to that achieved using the previous one. The compound evaluation model proposed in this paper has been proven to present many advantages for black spot identification. It is evidently clear from the findings that the vehicle kinetic parameters have significant correlations with road accident risk. This paper could provide some insightful knowledge for identifying and preventing the black spots from ameliorating traffic safety. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
47. A Planning Control Strategy Based on Dynamic Safer Buffer to Avoid Traffic Collisions in an Emergency for CAVs at Nonsignalized Intersections.
- Author
-
Jia Li, Xiaobo Liu, Mulin Xiao, and Gongyuan Lu
- Subjects
ROAD interchanges & intersections ,TRAFFIC accidents ,TRAFFIC congestion ,CARBON emissions ,AUTONOMOUS vehicles ,TRAFFIC engineering - Abstract
Intelligent traffic control at nonsignalized intersections under a connected and automated vehicle (CAV) environment can reduce traffic congestion, vehicle emissions [e.g., carbon dioxide ðCO2Þ, carbon monoxide (CO), nitrogen oxide (NO)], but it is still not safe enough for an unpredictable emergency. For example, an accidental stop or slow down of a vehicle in the conflict area will cause secondary accidents of vehicles from other directions because they do not have enough distance to brake. Such risks have not been given sufficient attention in the literature. This paper proposed a safety guarantee mechanism of intersection control to avoid secondary accidents by adding a safe buffer area outside the conflict area of the intersection. To improve the traffic efficiency of intersections and reduce vehicle emissions under the mechanism, we proposed a heuristic vehicle trajectory planning control strategy based on vehicle kinematics. Three planning principles are applied to generate the microscopic trajectory for each vehicle: (1) the vehicle first decelerates and then accelerates before passing the intersection; (2) try not to change the running state of the vehicle; and (3) the vehicles do not collide with each other. Finally, to further improve efficiency, we proposed the concept of a dynamic safety area, which reduces the delay by self-adjusting the safety area to each vehicle’s trajectory. The paper selected three simulation scenarios of road intersections to validate our methodology. The simulation results show that the proposed control method with the safe buffer significantly reduces average vehicle delay and emissions compared to traditional signal control systems. Compared with the fixed buffer, in the dynamic safe buffer scenario, the average vehicle delay can be reduced by 66.94%, the throughput is increased by 18.75%, and CO2 emissions are reduced by 9.9%. The dynamic safe buffer can not only relax the safety concern of a nonsignalized intersection, which is not well addressed in the literature, but also has much better performance than the traditional intersection. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
48. Queue Length Estimation Based on Probe Vehicle Data at Signalized Intersections.
- Author
-
Luo, Huidan, Deng, Mingjun, and Chen, Jia
- Subjects
SIGNALIZED intersections ,ROAD interchanges & intersections ,LOCATION data ,TRAFFIC engineering ,VEHICLES ,PENETRATION mechanics ,SHOCK waves - Abstract
Queue length is one of the important indexes to evaluate the operation efficiency of signalized intersection and also the key parameter of intersection signal control optimization. Traditional queue length estimation models are mostly based on fixed detection equipment, and the models assumptions are too harsh; there are certain limitations. Based on the probe vehicle data, this paper establishes a model of queue length estimation for signalized intersection based on shockwave theory. First, based on the speed and location data of the probe vehicle, the vehicle density is calculated to estimate the intersection stop line. A real-time calculation method of vehicle arrival rate is proposed to improve the applicability of the model. Then, based on the shockwave theory, the meeting time of the queue forming wave and the queue discharging wave are calculated after the green light is on. Finally, the queue length is summed in sections, including the distance between the last queued probe vehicle and the stop line during the red light period, the length of the subsequent vehicles arriving during the residual red light time, and the newly increased queue length within the queue discharging time. This paper uses the VISSIM software to simulate the actual intersection. The simulation results show that when the penetration of probe vehicle is 50%, 25%, and 10%, their corresponding mean absolute relative error are 11.27%, 27.77%, and 39.12%, respectively. It can be seen that with the increase of penetration, the error gradually decreases. The average absolute relative error is within the acceptable range. After analyzing the existing similar methods, although the accuracy of the method proposed in this paper does not reach the highest level, it has the advantages of simple operation, less computation, and good real-time computation. Relevant research results can provide support for traffic control at signalized intersections. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
49. QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction.
- Author
-
Li, Zhuoxuan, Cao, Jinde, Shi, Xinli, and Huang, Wei
- Subjects
TRAFFIC estimation ,TRAFFIC flow ,TRAFFIC congestion ,BLENDED learning ,MACHINE learning ,PARTICLE swarm optimization ,TRAFFIC engineering ,INTELLIGENT transportation systems - Abstract
Accurate assessment of road conditions can effectively alleviate traffic congestion and guide people's travel plans, traffic control decisions of transportation departments, and formulation of traffic-related laws and regulations. This paper proposes a quantum particle swarm optimization (QPSO) and adaptive hybrid exponential smoothing with residual correction (AHES-RC) for the nonlinearity and randomness of traffic flow. In the proposed algorithm, the single–double-exponential smoothing method is mixed with adaptive weights to form AHES, a new method of mixing weights according to real-time traffic trend changes. After the residual correction of AHES is calculated by the extreme learning machine algorithm, the parameters of AHES-RC are optimized using QPSO to improve the prediction accuracy further. This paper comprehensively compares the QPSO-AHES-RC algorithm with other benchmark models through testing on 26 real-world data sets. The results show that the proposed algorithm can adaptive forecasting under various traffic conditions, yielding the best forecasting performance in terms of various forecast error metrics. Compared with advanced machine learning algorithms such as XGBoost and CatBoost, the mean RMSE and mean MAPE have been improved by over 20% on average. In addition, it is revealed that the real-time dynamic capture of traffic flow can effectively improve prediction accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
50. Traffic signal priority control based on shared experience multi‐agent deep reinforcement learning.
- Author
-
Wang, Zhiwen, Yang, Kangkang, Li, Long, Lu, Yanrong, and Tao, Yufei
- Subjects
TRAFFIC signs & signals ,DEEP learning ,REINFORCEMENT learning ,EMERGENCY vehicles ,TRAFFIC engineering ,GROUP work in education - Abstract
Deep Reinforcement Learning (DRL) has demonstrated its great potential for Adaptive Traffic Signal Control (ATSC) tasks at single‐intersection. In the transportation network multi‐agent environment, cooperative learning among multi‐agents has become a hot research topic. Based on the distributed control model, this paper presents a hybrid reward function model for the dynamic density method of intersections, which emphasizes the priority of emergency vehicles (EMV) while maximizing the traffic efficiency of social vehicles, and solves the problem of sparse reward due to the ambiguous guidance relationship between the multi‐agent Deep Reinforcement Learning (MDRL) state and reward function of the urban road network scenario. On the other hand, based on multi‐agent A2C (MA2C) algorithm, this paper presents Shared Experience MA2C (SEMA2C) between agents. In the transportation network, each intersection represented by an agent has similar task objectives. SMEA2C algorithm takes the current agent as the main body of self‐learning, and utilizes the principle of importance sampling to learn from the experience data of the agents located at adjacent intersections. The experimental results show that the proposed SEMA2C performs well in multi‐agent traffic signal control tasks, and has greater advantages than the similar algorithms. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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