QueueLearner: A Knowledge-Combined Reinforcement Learning to Understand Queuing Evolution in Isolated Traffic Signal Control
Author:
Affiliation:
1. Graduate School of Engineering, University of Tokyo,Tokyo,Japan,113-8656
2. Institute of Industry Science, University of Tokyo,Tokyo,Japan,153-8505
3. Center for Spatial Information Science, University of Tokyo,Chiba,Japan,277-8568
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922584.pdf?arnumber=9922584
Reference35 articles.
1. Review of road traffic control strategies
2. Diagnosing reinforcement learning for traffic signal control;zheng;ArXiv Preprint,2019
3. Reinforcement learning in urban network traffic signal control: A systematic literature review
4. Learning Phase Competition for Traffic Signal Control
5. Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections
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