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

Research on Intersection Phase Timing Calculating Method Based on Interval Detection Data

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

Traditional traffic detectors can only obtain cross-section traffic detection data, which restricts the practical application level of signal control theory. At present, the new detector has created better data application conditions for traffic signal control. Millimeter-wave radar can track and acquire traffic flow, speed, and occupancy data of multiple targets in a certain interval. Based on this interval detection data, a new method of expressing traffic state is proposed. The reliability of this method for expressing supersaturated traffic state is illustrated by the analysis of actual detection data. Finally, a new method of intersection phase timing calculation based on interval detection data is proposed. Taking an actual intersection in Tongzhou as an example, based on the actual collected interval detection data, the traffic signal timing scheme under unsaturated and over-saturated conditions is calculated by using the intersection signal timing algorithm proposed in this paper, and compared with the algorithm given by TRANSYT. The results show that the new method of signal control at single intersection can effectively reduce the delay of vehicles at intersections, and has a significant effect on traffic congestion in the direction of traffic congestion, and achieves a good effect of improving the level of signal control services at intersections.

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 109 - 117
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

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Shuqing Liu [email protected]
School of Traffic and Transportation, Beijing Jiaotong Univ. E-mail: [email protected]
Tseuneo Kawasaki [email protected]
Beijing E-Hualu Information Technology Co., Ltd. E-mail: [email protected]
Zhanqiang Zhai [email protected]
Beijing E-Hualu Information Technology Co., Ltd. E-mail: [email protected]

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