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Passenger-oriented Distributed Traffic Signal Control Using Dynamic Programming with Vehicle Queue Spillback and Waiting Time Constraints

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Abstract

In a congested urban road network, it is important to reduce passenger travel time and delay by implementing appropriate traffic signal controls. Previous studies have mainly focused on vehicle travel times or queue lengths around signals. However, as ridesharing has become popular in recent years, a new line of research delves into prioritizing ridesharing vehicles in terms of convenience for people rather than for cars. This paper proposes a control method based on dynamic programming that reduces the passenger travel time in a distributed manner by taking into account the number of passengers in each vehicle. This method also alleviates vehicle spillback and extremely long wait times for vehicles. Finally, the performance of the proposed method is verified with simulations.

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Availability of Data and Materials

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work was partially funded by a JSPS KAKENHI Grant-in-Aid for Scientific Research 20H02267.

Funding

This study was funded by JSPS KAKENHI Grant-in-Aid for Scientific Research 20H02267.

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Authors and Affiliations

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Contributions

KI and TS conceived the idea of the study. KI significantly contributed to simulation analysis and interpretation. KI drafted the original manuscript. TS supervised the conduct of this study. All authors reviewed the manuscript draft and revised it critically on intellectual content. All authors approved the final version of the manuscript to be published.

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Correspondence to Kanae Iizuka.

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Appendix A List of Abbreviations

Appendix A List of Abbreviations

Below is the list of notations used in this paper.

Table 5 List of abbreviations

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Iizuka, K., Seo, T. Passenger-oriented Distributed Traffic Signal Control Using Dynamic Programming with Vehicle Queue Spillback and Waiting Time Constraints. Int. J. ITS Res. 22, 579–602 (2024). https://doi.org/10.1007/s13177-024-00418-z

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  • DOI: https://doi.org/10.1007/s13177-024-00418-z

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