Managing mixed traffic at signalized intersections: An adaptive signal control and CAV coordination system based on deep reinforcement learning

Author:

Li DuoweiORCID,Zhu FengORCID,Wu Jianping,Wong Yiik Diew,Chen TianyiORCID

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference37 articles.

1. Signalized Intersection Control in Mixed Autonomous and Regular Vehicles Traffic Environment—A Critical Review Focusing on Future Control;Al-Turki;IEEE Access,2022

2. Aoki, S., & Rajkumar, R. (2019). V2V-based Synchronous Intersection Protocols for Mixed Traffic of Human-Driven and Self-Driving Vehicles. 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 1–11. https://doi.org/10.1109/RTCSA.2019.8864572.

3. A review on computational intelligence methods for controlling traffic signal timing;Araghi;Expert Systems with Applications,2015

4. Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies;Bansal;Transportation Research Part A: Policy and Practice,2017

5. Behrisch, M., Bieker, L., Erdmann, J., & Krajzewicz, D. (2011). SUMO – Simulation of Urban MObility: An Overview. In S. & U. of O. Aida Omerovic, R. I.-R. T. P. Diglio A. Simoni, & R. I.-R. T. P. Georgiy Bobashev (Eds.), Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation. Barcelona: ThinkMind. Retrieved from http://www.thinkmind.org/index.php?view=instance&instance=SIMUL+2011.

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