Technical Papers
Jul 13, 2018

Shockwave-Based Queue Length Estimation Method for Presignals for Bus Priority

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 9

Abstract

This paper presents a shockwave-based method for estimating queue length associated with presignals for bus priority. Both queue length at presignals and main signals are estimated by the proposed method. In this study, we first analyze traffic operations with the implementation of presignals for bus priority using shockwave theory. On this basis, queue length at presignals and main signals are estimated for eight cases in which a bus arrives at different times during a traffic signal cycle. Detailed comparisons of queue length estimated by shockwave theory and that obtained by a cellular-automaton-based simulation are made from the shape of the fundamental diagram (triangular and concave), areas (upstream of the presignal and between the presignal and the main signal), bus arrival scenarios (bus is not present and bus is present), and bus arrival times (during the red presignal and during the green presignal). Simulation experiments show that the proposed shockwave-based method is effective in estimating queue length associated with presignals for bus priority in all cases. The efforts are made to provide the basis for evaluating the performance of intersections with presignals for bus priority implemented and designing sorting area for presignals for bus priority.

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Acknowledgments

The research is supported by Ministry of Science and Technology of the People’s Republic of China (Project No. 2014BAG01B02).

References

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 144Issue 9September 2018

History

Received: Sep 18, 2017
Accepted: Mar 27, 2018
Published online: Jul 13, 2018
Published in print: Sep 1, 2018
Discussion open until: Dec 13, 2018

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Authors

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Ph.D. Candidate, Key Laboratory of Road and Traffic Engineering of Ministry Education, Tongji Univ., Shanghai 201804, China (corresponding author). ORCID: https://orcid.org/0000-0003-3693-0106 Email: [email protected]
Associate Professor, Key Laboratory of Road and Traffic Engineering of Ministry Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Ph.D. Candidate, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China. Email: [email protected]
M.S. Candidate, Key Laboratory of Road and Traffic Engineering of Ministry Education, Tongji Univ., Shanghai 201804, China. Email: [email protected]
Yinhai Wang, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195-2700. Email: [email protected]

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