Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization

Author:

Zhang LiangORCID,Xie ShubinORCID,Deng JianmingORCID

Publisher

Springer Nature Switzerland

Reference30 articles.

1. Chen, C., et al.: Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 3414–3421 (2020)

2. Chenguang, Z., Xiaorong, H., Gang, W.: PRGLight: a novel traffic light control framework with pressure-based-reinforcement learning and graph neural network. In: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems (RL4ITS) Workshop (2021)

3. Cools, S.B., Gershenson, C., D’Hooghe, B.: Self-organizing traffic lights: a realistic simulation. In: Prokopenko, M. (eds.) Advances in Applied Self-Organizing Systems. Advanced Information and Knowledge Processing, pp. 45–55. Springer, London (2013). https://doi.org/10.1007/978-1-4471-5113-5_3

4. Gershenson, C.: Self-organizing traffic lights. arXiv preprint nlin/0411066 (2004)

5. Horgan, D., et al.: Distributed prioritized experience replay. arXiv preprint arXiv:1803.00933 (2018)

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