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With the rapid development of the Internet, the era of big data is coming. The weather forecast operation also is faced more challenges and opportunities. At present, the intelligent grid forecasting operation being carried out by the China Meteorological Administration will be based on meteorological big data, artificial intelligence methods and high-performance computing. This study uses the high-frequency grid multi-source observed fusion product generated by the HRCLDAS operational system of the National Meteorological Information Center as the grid observation data. The Sliding Two-Predictor regression correction method is used to test the full-grid point correction of the China’s regional ECMWF model direct output products of. And three different parallel computing schemes were compared with each other. The results show that the STPRC method can correct the ECMWF mode direct output product (DMO), and the grid MAE of 2-m temperature and 10-m wind speed can be greatly reduced. At the same time, the parallel computing scheme of GPU can greatly improve the efficiency of grid modeling. The combination of the two technologies finally produces high-accuracy, high-temporal and resolution grid forecasting products in a timely and efficient manner.

Recently there are a lot of crowd-related accidents (panic/crowd/stampede) occurring in rail transit hub, which is mainly caused by the large passenger flow. Due to the research of rail transit passenger flow warning is lack of practical value, and the relevant standards cannot be adapted to the local conditions. Therefore, this research adopts the mobile phone signaling, Wi-Fi detection technology and video image processing technology to obtain the accurate passenger flow data. Based on the research of passenger flow warning indicators, the passenger flow density is regarded as the warning indicators, so the precise region area becomes essential. Then the spatial map technology is used to divide the regions of rail transit hub and calculate the region area by the spatial geometric cross processing method. On this foundation, this paper constructs the warning thresholds of rail transit passenger flow which mainly includes the absolute warning threshold, relative warning threshold and abrupt warning threshold. Finally, the warning thresholds are verified in the Hongqiao Rail Transit Hub, which can warn the large passenger flow timely and precisely. In addition, the warning threshold not only can satisfy the demand of the passenger flow management, but also can used in different conditions.

As the inter-junction section of the mainline and the ramps, the expressway weaving area is one of the major bottlenecks within the urban expressway system. In addition to various behaviors of drivers, the acceleration lane length of expressway weaving area is generally short, which makes it more prone to trig traffic disorder and become a traffic accident blackspot. Increasing the acceleration lane length of expressway weaving area can provide larger buffer space for the merging process of vehicles. However, a longer length generally means a higher infrastructure investment. Consequently, an optimal length of acceleration lane is essential for the expressway road infrastructure development. This paper uses the empirical survey data and a microscopic simulation system, called Traffic Parallel Simulation System (TPSS), as the simulation platform to build and verify the lane-changing model in expressway weaving area. By means of the developed weaving area simulation model, the impacts of various acceleration lane length on the traffic flow service levels are investigated, for obtaining the recommended value of acceleration lane length under different levels of services. This value further provides the guidelines for traffic management departments to formulate strategies and technical supports to relieve traffic congestions.

This paper the objective constraints such as the number of train groups available for use and the basic interests of the operating company, and optimizes the departure time of urban rail transit according to the existing passenger flow characteristics change. Based on the characteristics of passengers’travel behavior and the habits of taking urban rail transit, a mathematical model with the objective function as the average waiting time of passengers is constructed. Using genetic algorithm to solve the model reasonably, it is found that the optimized scheme can effectively shorten the average waiting time of passengers under the conditions of satisfying various constraints.

The objective of this study was to detect abnormal behavior event (fall) by analyzing the existing monitoring video for ensuring the safety of rail transit platform passengers. Here, the key point coordinates and limb joints of human body are obtained based on PAFs (part affinity fields). Then feature information determined the fall is extracted based on the neck key point tracking algorithm. The feature for judging fall, namely the angle between leg and horizontal plane, is proposed in this study. The experimental data is based on the simulated fall videos took from Leqiao station of Soochow 1st metro line in Jiangsu province. Our results show that, the single picture and video are tested respectively, and it is found that the timing information is more fault-tolerant and more accurate in identifying falls, yet is more complex and more difficult to implement. What’s more, because of the lack of sufficient fall videos, the results analysis based on the proposed algorithm remains much room for improvements. Also, more useful and efficient detection characteristics can be taken into account in the future.

The signal system is the control system in the rail transit system and is a key component to realize the safety of train operation. As more signal systems use complex computer systems instead of traditional control methods, data plays an increasingly important role in the system’s work. Establishing an analytical model with data as a system unit is important for further strengthening system safety. This paper takes urban rail transit signal system as the research object, and builds a system safety model based on the data driving characteristics of the system, which provides theoretical support for further improving the safety of the new generation rail transit system.

With the continuous development of Chinese modern society, people are no longer only satisfied with the basic material needs, but the pursuit of the spiritual world is also growing stronger. While providing convenient travel services for the citizens, the Shanghai Metro is also committed to letting people enjoy the artistic creativity and ingenuity in the process of operating. Metro Line 17 is such a line full of artistic sense and historical landscape. The works of art, ceramics installations, large space and large vision of Zhuguang Road Station, two murals and PC technology of North Xujing Station were recorded and the observed information was summarized and considered through the investigation activities by taking the Shanghai Metro Line 17 on the spot in this paper. PC is not only the innovation of structural technology, but also the innovation of architecture and art.

At present, the underground space tunnel in municipal engineering is the advanced layout of technical facilities and pipe network. And it is also the trend of urban construction and development. The main difficulty of underground space tunnel construction is the limited space and complicated pipelines in cities. In the past, during the construction process of metros, utility tunnels and ground crossing signal control, there were pipeline collisions and thus on-site changes are required. Those changes often make local space localized and unreasonable, because of the collision of large-section ventilation ducts. In order to effectively respond to the requirements on promoting the application of BIM (Building Information Modeling) from the Ministry of Housing and Urban-Rural Development, this paper studies the establishment of the visual model of engineering and surrounding environment, the data acquisition mechanism for metro BIM systems, and the collaborative information management platform for metro design based on BIM. The research results have the effect of shortening the construction period, controlling the cost, and ensuring the quality of the design of the utility tunnel. The research results can provide guiding significance for BIM applications on metro design in the future.

With the rapid growth of automobiles in China, urban traffic congestion has become the most headache problem for citizens. In this paper, based on the SCATS of Shanghai urban traffic control, the traffic of oversaturated intersection is modeled and the optimization algorithm of intersection signal system is studied. The problem of traffic congestion can be alleviated by reducing the delay time and increasing the travel speed of vehicles at oversaturated intersections.

As a new way of urban development, TOD mode provides a new way to solve the problems in current urban construction. Shanghai Rail Transit Line No. 17 Huijin Road Station integrated the TOD concept into the construction and made adjustments and improvements in light of the actual situation. This paper studies and analyzes its application model in order to provide reference for the extensive practice of the future TOD model.

Safety is increasingly important for software based, critical systems of urban rail transit. This paper reviews and compares the advantages and disadvantages of various security assessment methods from qualitative, quantitative and comprehensive aspects. These methods are widely used in the field of practical safety assessment.

Ramp metering is a viable, reliable and effective strategy which maintains urban expressways in optimum status. Various forms of applications and researches on ramp metering are studied systematically by literature analysis of various countries. It can be classified into different categories according to different control objects, tasks and methods. In view of the history of ramp metering development, a review and analysis is made for the essential urban expressway ramp metering methodologies and their advantages and disadvantages in this paper, which is based on two aspects: isolated ramp metering and coordinated ramp metering. And also some perspectives on the development of ramp metering research are brought up in order to propose the tendency of further studies.

With the improvement of living standard of urban residents recently, people are more and more attention to the comfortableness, convenience and environmental quality of travel. Therefore, the study of the variation of physiology and psychology during trip has become a hot topic in the traffic domain, while bus travel is more sensitive to them. Based on the above description, this study uses the heart rate test and SP survey to obtain the subjective and objective data of physical expenditure during the bus trip, and get the main factors of physical expenditure by analyzing the survey data. Then, by establishing the logistic regression model to analyze the relationship whether the relevant factors of physical expenditure are considered and the result show that the factors of physical expenditure can reduce the probability of bus travel choice.

Research on queue length model lacks the consideration for stochastic fluid. This paper makes equivalent queue length prediction models from two-fluid theory, considering that traffic flow is composed of road traffic and congested traffic. With the simulation in VISSIM, it proves the equivalent queue length prediction models in paper can quantitatively describe the existence of stochastic traffic fluid in road.

The Earthquake is one of the worst natural disasters, emergency rescue command is playing an essential role in the process of rescue. And with the rapid development of GPS and GIS, the paper introduces GPS as the location technique and GIS to realize the visualization. Based on this, the system contains three structural layers and several basic functions, which can achieve the optimal path planning and real-time location through the heuristic algorithm and improved genetic algorithm. So this system can collect the information of earthquake emergency accurately and rapidly and provide effective service for earthquake emergency rescue command.

Due to the special running environment, modern tram has the certain safety hazard in the running process, so this research proposed an auxiliary safety protection technology based on obstacle detection for the modern tram. By the detector obtaining information of anterior obstacles and coordinate matching to identify the location of obstacles and relative location of tram rail. For the obstacles in the range of tram rail, this research can calculate the distance between tram and obstacles, as well as compute train protection curve dynamically, therefore it can provide the warning information to the driver. Finally, the results of simulation experiments proved the validity of this research, and it can provide the dynamic protection information based on the detective data.

This paper points to the shortfalls of the research on the traffic and signal coordinated control, and makes a model of traffic signal control and signal coordinated control. In the model, we use the minimum driving time as optimized object to adjust green signal ratio and pause rate in various intersections in real time, the green signal ratio is set as signal control strategy and the pause rate is taken as vehicle navigation strategy. The model is aim at coordinated control of the vehicles and signal. Also, this paper solves the model with the methods based on genetic algorithm (GA).