Agent-based optimization for multiple signalized intersections using Q-learning

• Main Authors: Teo, Kenneth Tze Kin, Yeo Kiam Beng @ Abdul Noor, Chin, Yit Kwong, Chuo, Helen Sin Ee, Tan, Min Keng
• Format: Article
• Language: English; English
• Published: United Kingdom Simulation Society 2014
• Subjects: QA76.75-76.765 Computer software; TE1-450 Highway engineering. Roads and pavements
• Online Access: https://eprints.ums.edu.my/id/eprint/29138/1/Agent-based%20optimization%20for%20Multiple%20Signalized%20Intersections%20using%20Q-Learning%20ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/29138/2/Agent-Based%20Optimization%20for%20Multiple%20Signalized%20Intersections%20using%20Q-Learning_FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/29138/; https://ijssst.info/Vol-15/No-6/paper10.pdf; http://dx.doi.org/10.5013/IJSSST.a.15.06.10

Relieving urban traffic congestion has always been an urgent call in a dynamic traffic network. The objective of this research is to control the traffic flow within a traffic network consists of multiple signalized intersections with traffic ramp. The massive traffic network problem is dealt through...