Stochastic-priority-integrated signal coordination considering connected bus operation uncertainties

Journal Article (2023)
Author(s)

S. Ou (Tongji University, TU Delft - Transport and Planning)

Kun Liu (Tongji University)

Wanjing Ma (Tongji University)

A Hegyi (TU Delft - Transport and Planning)

B van van Arem (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2023 S. Ou, Kun An, Wanjing Ma, A. Hegyi, B. van Arem
DOI related publication
https://doi.org/10.1080/21680566.2023.2297152
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 S. Ou, Kun An, Wanjing Ma, A. Hegyi, B. van Arem
Transport and Planning
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
1
Volume number
12
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Abstract

Multimodal arterial signal coordination for buses and passenger vehicles can improve arterial travel smoothness and efficiency. However, uncertainty in bus operations requires signal priority at intersections, which impacts coordination and increases stop times for other traffic types. Therefore, this study proposes a stochastic priority-integrated signal coordination (SPIC) method. It includes an offline stochastic programme to determine the arterial signal coordination, i.e. cycle length and offsets, considering the stochastic signal priority, and an online mixed-integer nonlinear programme to determine the signal priority together with the bus arrival and departure times at and from stops and intersections in a connected vehicle environment. A scenario-based heuristic algorithm is proposed to solve the SPIC efficiently. Numerical studies have validated that SPIC can improve the efficiency of buses and passenger vehicles. Sensitivity analyses show that the SPIC effectively reduces delays with fluctuations in the bus travel time, dwell time, and passenger vehicle demands.

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