[1] Bian Chentong, Yin Guodong, Xu Liwei, Zhang Ning, et al. Compact passing algorithm for signalized intersectionmanagement based on vehicular network [J]. Journal of Southeast University (English Edition), 2019, 35 (1): 103-110. [doi:10.3969/j.issn.1003-7985.2019.01.015]

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Compact passing algorithm for signalized intersectionmanagement based on vehicular network()

基于车联网的信号灯路口密集通过算法

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

35

Issue:

2019 1

Page:

103-110

Research Field:

Traffic and Transportation Engineering

Publishing date:

2019-03-30

Info

Title:

Compact passing algorithm for signalized intersectionmanagement based on vehicular network

基于车联网的信号灯路口密集通过算法

Author(s):

Bian Chentong;  Yin Guodong;  Xu Liwei;  Zhang Ning

School of Mechanical Engineering, Southeast University, Nanjing 211189, China

边辰通;  殷国栋;  徐利伟;  张宁

东南大学机械工程学院, 南京 211189

Keywords:

intersection management;  signalized intersection;  vehicular network;  compact passing;  phase timing

路口管理;  信号灯路口;  车联网;  密集通过;  相位配时

PACS:

U491.5

DOI:

10.3969/j.issn.1003-7985.2019.01.015

Abstract:

To improve the traffic efficiency at signalized intersections, a compact passing algorithm is proposed based on a vehicular network. Its basic principle is that several waiting vehicles after the stop line of the considered intersection should simultaneously start in green periods. Thus, more vehicles can pass the intersection in a green period. Then, the having passed vehicles should follow the planned trajectories to enlarge their longitudinal clearances. Phase timing is not considered in the compact passing algorithm, and therefore, the proposed compact passing algorithm can be combined with other algorithms on phase timing to further improve their performances. Several simulations were designed and performed to verify the performance of the proposed algorithm. The simulation results show that the proposed algorithm can increase the number of completed vehicles and decrease the travel time in the signalized intersections managed by fixed-time and vehicle actuated algorithms, which indicates that the proposed algorithm is effective for improving the traffic efficiency at common signalized intersections.

为了提高信号灯路口的交通效率, 基于车联网技术提出了一种密集通过算法.该算法的基本原理为:多个等待在路口停车线后的汽车需要在绿灯开始时同时启动, 这样在一个绿灯周期内能同时通过更多的汽车.通过路口的汽车需要跟踪提前规划的轨迹以扩大车车间距.在密集通过算法中并未考虑信号灯的相位配时, 因此该算法可以应用到现有的信号灯路口相位配时算法中, 进一步提高现有相位配时算法的性能.为检测密集通过算法的有效性, 设计了多个仿真工况进行了说明分析.仿真结果表明, 所提出的密集通过算法能够有效地提高固定周期信号灯路口以及自适应控制信号灯路口的汽车通行数量, 减少通行时间, 这表明该算法能有效提高常见信号灯路口的交通效率.

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Memo

Memo:

Biographies: Bian Chentong(1988—), male, Ph.D. candidate; Yin Guodong(corresponding author), male, doctor, professor, ygd@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 51575103, U1664258), the National Key Research and Development Program of China(No.2016YFB0100906, 2016YFD0700905), Six Talent Peaks Project in Jiangsu Province(No. 2014-JXQC-001), Fundamental Research Funds for the Central Universities(No. 2242016K41056), the Southeast University Excellent Doctor Degree Thesis Training Fund(No.YBJJ1703).
Citation: Bian Chentong, Yin Guodong, Xu Liwei, et al.Compact passing algorithm for signalized intersection management based on vehicular network[J].Journal of Southeast University(English Edition), 2019, 35(1):103-110.DOI:10.3969/j.issn.1003-7985.2019.01.015.

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