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Your search keyword '"Lu, Guangquan"' showing total 48 results
Start Over Author "Lu, Guangquan" Publisher american society of civil engineers
48 results on '"Lu, Guangquan"'

24. Bottleneck Identification on Beijing Road Network Based on Reliability

Author

Peng Chen, Wang Xin, Lu Guangquan, and Wang Yunpeng

Subjects
Transport engineering, Traffic congestion reconstruction with Kerner's three-phase theory, Geography, Traffic congestion, Beijing, Reliability (computer networking), Network topology, Traffic bottleneck, Bottleneck, Network traffic control
Abstract

In recent years, traffic congestion has become an urgent urban problem especially in populated cities like Beijing, Shanghai, etc. There are quite a few explanations towards this problem, but the studies of network and failure implies increasingly evident that the problem is caused by both fixed and dynamic bottlenecks in the network. In this paper, the study focuses on the identification of the fixed and dynamic bottleneck of networks based on the traffic data from a part of road network in Beijing. According to the data view, the dynamic traffic bottleneck recognition is conducted, mainly considering the congestion evaluation under reliability through network topology analysis method. The predictive results can be helpful in applications to formulate the strategy of management and control.

Published
2015

25. An Improved K-Nearest Neighbor Model for Road Speed Forecast Based on Spatiotemporal Correlation

Author

Chen Peng, Wang Yunpeng, Pinlong Cai, and Lu Guangquan

Subjects
Data processing, Matching (statistics), State vector, computer.software_genre, k-nearest neighbors algorithm, symbols.namesake, Geography, Gaussian function, symbols, Data mining, Time series, Focus (optics), computer, Gaussian process
Abstract

Most k-nearest neighbor models only focus on single step short-term traffic forecasting and can't perform well when extended to multi-step forecast. To enhance accuracy, this paper presents an improved k-nearest neighbor model considering the spatiotemporal correlation. The proposed model defines the current conditions by the two-dimensional spatiotemporal state matrices, instead of the one-dimensional state vector of the time series. Moreover, this paper determines the weights by Gaussian function to adjust the matching distance and manage the data of the nearest neighbors. The original speed data used in this paper are normalized in order to apply the proposed model to different types of road segments. The case shows the improved model performs more desirable than the original k-nearest neighbor models and demonstrates more appropriate for multi-step forecast of the road speed.

Published
2015

28. Influence Analysis of Crosswind on Handling Stability of Tractor Semi-Trailer in Double Lane Change Situation

Author

Gang Zhou, Yunpeng Wang, Jin Song Dong, Zhiying Dou, Lu Guangquan, and Qingfeng Lin

Subjects
Truck, Tractor, Engineering, business.product_category, business.industry, Trailer, Influence analysis, Aerodynamics, business, Stability (probability), Automotive engineering, Crosswind, Semi-trailer
Abstract

To analyze the effect of crosswind on the handling stability of tractor semi-trailers in double-lane change situations, the tractor semi-trailer model and the relative aerodynamic coefficient model were built by using TruckSim. Considering the factors of different crosswind directions, crosswind speed, and vehicle speed, we analyzed the relationship between these factors and the handling stability of tractor semi-trailers in double-lane change situations. The results show that a trailer has movement delay and worse handling stability compared to a tractor. The tractor/semi-trailer is unstable when the vehicle speed is 75 km/h and the crosswind speed is 40km/h or 60km/h. The tractor semi-trailer is stable when the vehicle speed is 70 km/h and the crosswind speed is less than 60km/h.

Published
2013

29. Influence Analysis of Trailer Length on Turning Channel Width of B-Train

Author

Qingfeng Lin, Ziyang Chen, Lu Guangquan, Yunpeng Wang, Jin Song Dong, and Gang Zhou

Subjects
Engineering, business.product_category, Road train, business.industry, Acoustics, Trailer, Process (computing), Steering wheel, Channel width, Automotive engineering, Limit (music), Influence analysis, Turning radius, business
Abstract

To analyze the influence of trailer length on passing ability of double semi-trailer road train (B-Train), we built B-Train model by using TruckSim, and confirmed limit steering wheel angle when all wheels of B-Train moved forward and the turning radius was minimum simultaneously by choosing dry pavement. And then, the turning process was simulated to analyze the relationship between the trailer length and the turning channel width at low speed. The results show that increasing trailer length leads to the increase of the turning channel width of B-Train; the turning channel width is larger when the length of the first trailer is increased independently than that when the length of the second trailer is increased independently. In addition, according to the simulation results, we built the relation model between trailer length variation and turning channel width using least-square theory.

Published
2013

48. Logit-Based Merging Behavior Model for Uncontrolled Intersections in China.

Author

Liu, Miaomiao, Wang, Yunpeng, Lu, Guangquan, and Zhang, Zhe

Subjects
ROAD interchanges & intersections, ALL-way stops (Traffic engineering), TRANSPORTATION engineering, TRAFFIC engineering, HIGHWAY engineering
Abstract

It has been previously documented that under the condition of crossing an uncontrolled intersection, the decision-making process of drivers is rather complex and highly interactive: they need to decide about the timing, direction, and strategy to complete the required maneuver to avoid potential conflicts. Given the significant impact of this behavior on intersection safety and capacity, we model the merging behavior of a straight-moving vehicle facing a turning vehicle at an uncontrolled intersection in China. We expect that this model can predict the probability that a straight-moving driver has a preemptive status (i.e., arrive at the merging point before the turning vehicle). The factors which determine the drivers' decision behavior are analyzed, and then we propose a logistic regression model using a dataset collected from an uncontrolled intersection in Kunming, China. Our model reveals that the speed difference, the distance between the two vehicles, and the distance of the turning vehicle to the merging point are the major determinants of a straight-moving driver's decision. In addition, the prediction results from our model are compared with real-world observations, and better validate the decision behavior model in China. [ABSTRACT FROM AUTHOR]

Published
2014
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