Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Optimization Model of Intersection-Oriented Lane Combination Based on Delay

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

In this paper, the problem of the unreasonable function division of the lanes at the intersection leads to the problem that the space resources of the intersection cannot be used more efficiently. Combined with the Webster delay principle, the model of the vehicle average delay of each lane and the entrance lane of the intersection is established, and based on this, the goal of minimizing the delay is to establish an integer programming model for the intersection of the entrance lanes and the lanes of the intersection, and select an example intersection to import traffic data as an example for analysis. MATLAB is used to solve the problem to determine the best guide lanes at the intersection. The combination form is used to calculate and compare the average delays of the imported lanes before and after the optimized lane group optimization, and the simulation is verified by VISSIM software. The results show that: for the unreasonable division of the current lane function, after the optimization of the guide lane combination, the north entrance road at different times The average vehicle delays decreased by 2.3% to 25% compared with the pre-optimization, indicating that the intersection-oriented lane combination optimization model has certain applicability and can improve the traffic efficiency of the intersection.

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REFERENCES

Li, M., Zhang, W., and Zhang, Y. (2017), “Simulation Research on Dedicated Guided Lanes for Multi-lane Two-phase Intersection.” Highway and Motor Transport, 31-34.
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Information & Authors

Information

Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 140 - 147
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

Affiliations

Anhui Key Laboratory of Traffic Information and Safety, Anhui Sanlian Univ., Economic Development Zone, Hefei, Anhui, China. E-mail: [email protected]
Qianqian Xu [email protected]
School of Traffic Engineering, Anhui Sanlian Univ., Economic Development Zone, Hefei, Anhui, China. E-mail: [email protected]

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