WaveLearner: A Knowledge-Combined Reinforcement Learning to Understand Coordinated Traffic Signal Control along Urban Arteries

Author:

Han Tianyang1,Lyu Suxing2,Oguchi Takashi3

Affiliation:

1. Graduate School of Engineering, University of Tokyo,Tokyo,Japan,113-8656

2. Center for Spatial Information Science, University of Tokyo,Chiba,Japan,277-8568

3. Institute of Industry Science, University of Tokyo,Tokyo,Japan,153-8505

Publisher

IEEE

Reference31 articles.

1. Gan and multi -agent drl based decentralized traffic light signal control;wang;IEEE Transactions on Vehicular Technology,2021

2. Efficient pressure: Improving efficiency for signalized intersections;wu;ArXiv Preprint,2021

3. A study on possibility of predictive deep reinforcement learners for isolated intersection signal control;han;Seisan-Kenkyu,2021

4. Knowledge intensive state design for traffic signal control;zhang;ArXiv Preprint,2021

5. Examining Headway Distribution Models with Urban Freeway Loop Event Data

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on deep reinforcement learning approaches for traffic signal control;Engineering Applications of Artificial Intelligence;2024-07

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