Reinforcement learning-based multi-agent system for network traffic signal control
- 1 January 2010
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Intelligent Transport Systems
- Vol. 4 (2), 128
- https://doi.org/10.1049/iet-its.2009.0070
Abstract
No abstract availableThis publication has 10 references indexed in Scilit:
- A Collaborative Reinforcement Learning Approach to Urban Traffic Control OptimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- A Novel Signal-Scheduling Algorithm With Quality-of-Service Provisioning for an Isolated IntersectionIEEE Transactions on Intelligent Transportation Systems, 2008
- Chapter 11 ITS and Traffic ManagementPublished by Elsevier BV ,2006
- Review of road traffic control strategiesProceedings of the IEEE, 2003
- Reinforcement Learning for True Adaptive Traffic Signal ControlJournal of Transportation Engineering, 2003
- A multivariable regulator approach to traffic-responsive network-wide signal controlControl Engineering Practice, 2002
- Analysis of intersection delay under real-time adaptive signal controlTransportation Research Part C: Emerging Technologies, 1999
- Reinforcement Learning: An IntroductionIEEE Transactions on Neural Networks, 1998
- Reinforcement Learning: A SurveyJournal of Artificial Intelligence Research, 1996
- A theory of cerebellar functionMathematical Biosciences, 1971