Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-20060-x.pdf
Reference29 articles.
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4. Shaikh PW et al (2020) A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem. IEEE Trans Intell Transp Syst 23(1):48–63
5. Wei Hua et al (2019) "Presslight: Learning max pressure control to coordinate traffic signals in arterial network." Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining
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