Study and Effect Evaluation on the Setting of Contraflow Left-Turn at Intersections

Authors

Zhao Dan, School of Traffic Management, People's Public Security University of China, Beijing 102163, China;
Xuejun Niu, School of Traffic Management, People's Public Security University of China, Beijing 102163, China;
Shuhao Zhang, School of Traffic Management, People's Public Security University of China, Beijing 102163, China;
Jiaxu Wei, School of Traffic Management, People's Public Security University of China, Beijing 102163, China;

Abstract

Abstract: Contraflow left-turn is one of the traffic organization ways at intersections. By analyzing the setting parameters of the contraflow left-turn, the length and the range of the contraflow left-turn lane, the constrained conditions of the contraflow left-turn are determined, and the applicable conditions are determined from the road, traffic and signal control. VISSIM software is used to analyze a road intersection, simulate and evaluate the indicators related to the intersection entrance, optimize the timing plan of contraflow left-turn lane, and validate the feasibility and advantages of contraflow left-turn lane. The results show that the intersection delays are reduced by contraflow left-turn lane, which provides experiences and fundamental reference for the setting of contraflow left-turn lane.

Recommended Citation

Dan, Zhao; Niu, Xuejun; Zhang, Shuhao; and Wei, Jiaxu (2022) "Study and Effect Evaluation on the Setting of Contraflow Left-Turn at Intersections," Journal of System Simulation: Vol. 33: Iss. 12, Article 22.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0795
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/22

First Page

2975

Revised Date

2021-08-05

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-FZ0795

Last Page

2982

CLC

U491.2;TP391.9

Recommended Citation

Zhao Dan, Niu Xuejun, Zhang Shuhao, Wei Jiaxu. Study and Effect Evaluation on the Setting of Contraflow Left-Turn at Intersections[J]. Journal of System Simulation, 2021, 33(12): 2975-2982.

Corresponding Author

Xuejun Niu,

DOI

10.16182/j.issn1004731x.joss.21-FZ0795