A Review on Smart Traffic Management with Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3305-7_37
Reference25 articles.
1. Jadhao NS, Jadhao AS (2014) Traffic signal control using reinforcement learning. In: 2014 Fourth international conference on communication systems and network technologies. Bhopal, India, pp 1130–1135. https://doi.org/10.1109/CSNT.2014.231
2. Wei H, Zheng G, Gayah V, Li Z (2021) Recent advances in reinforcement learning for traffic signal control: a survey of models and evaluation. ACM SIGKDD Explor Newsletter 22(1):12–18. https://doi.org/10.1145/3447556.3447565
3. Mannion P, Duggan J, Howley E (2016) An experimental review of reinforcement learning algorithms for adaptive traffic signal control. In: Autonomic road transport support systems, pp 47–66. https://doi.org/10.1007/978-3-319-25808-9_4
4. Genders W, Razavi S (2016) Using a deep reinforcement learning agent for traffic signal control, arXiv preprint arXiv:1611.01142. 10.48550.1611.01142
5. Prabuchandran KJ, Hemanth Kumar AN, Bhatnagar S (2014) Multi-agent reinforcement learning for traffic signal control. In: 17th International IEEE conference on intelligent transportation systems (ITSC). Qingdao, China, pp 2529–2534. https://doi.org/10.1109/ITSC.2014.6958095
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