Technical Papers
Oct 29, 2020

Active Strategy to Improve the Right-Turn Capacity at Signalized Intersections

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 1

Abstract

Conflicts between the right-turn vehicles and crossing pedestrians at signalized intersections not only endanger pedestrians, but also impede the ability of vehicles to execute their runs. The strategy proposed in this study recognizes the fact that the pedestrian volume in the late stage of the pedestrian green (PG) time is often low. Thus, it terminates the PG in advance to provide the right-turn vehicles with a pedestrian-free interval, which quickens the turning movements and improves the right-turn capacity. A rule-based algorithm is developed to determine the PG termination time dynamically, which considers the priority needs of vehicles and pedestrians. The proposed strategy is validated numerically at an intersection in Shanghai, China. The results demonstrate that the proposed strategy could efficiently improve the right-turn capacity and reduce vehicle delays with limited impact on pedestrians. Sensitivity analyses suggest that the proposed strategy is applicable at signalized intersections with high right-turn vehicle volume and moderate pedestrian volume.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request (simulation settings and outputs of TransModeler).

Acknowledgments

This work is funded by the National Natural Science Foundation of China (71671124).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 1January 2021

History

Received: Feb 27, 2020
Accepted: Aug 28, 2020
Published online: Oct 29, 2020
Published in print: Jan 1, 2021
Discussion open until: Mar 29, 2021

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Authors

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Ph.D. Candidate, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China. ORCID: https://orcid.org/0000-0001-7777-1194
Associate Professor, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China (corresponding author). Email: [email protected]
Wei Wang
Associate Professor, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China.
Xuefen Cai
Master’s Student, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China.
Yuchuan Du
Professor, Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China.

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