A collaborative agent-based traffic signal system for highly dynamic traffic conditions
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[1] Vinny Cahill,et al. Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[2] Jean-Loup Farges,et al. THE PRODYN REAL TIME TRAFFIC ALGORITHM , 1983 .
[3] P. Mannion. Learning Traffic Signal Control with Advice , 2015 .
[4] Robert L. Smith,et al. CoSIGN: A Parallel Algorithm for Coordinated Traffic Signal Control , 2006, IEEE Transactions on Intelligent Transportation Systems.
[5] Ana L. C. Bazzan,et al. A Distributed Approach for Coordination of Traffic Signal Agents , 2004, Autonomous Agents and Multi-Agent Systems.
[6] Lucia Lo Bello,et al. A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers , 2015, Expert Syst. Appl..
[7] Mee Hong Ling,et al. A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control , 2017, ACM Comput. Surv..
[8] Baher Abdulhai,et al. An agent-based learning towards decentralized and coordinated traffic signal control , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[9] Shalabh Bhatnagar,et al. Multi-agent reinforcement learning for traffic signal control , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[10] Iisakki Kosonen,et al. Multi-agent fuzzy signal control based on real-time simulation , 2001 .
[11] Dipti Srinivasan,et al. Neural Networks for Real-Time Traffic Signal Control , 2006, IEEE Transactions on Intelligent Transportation Systems.
[12] Vinny Cahill,et al. Soilse: A decentralized approach to optimization of fluctuating urban traffic using Reinforcement Learning , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[13] Matthew E. Taylor,et al. Learning Coordinated Traffic Light Control , 2013 .
[14] Vinny Cahill,et al. Autonomic multi-policy optimization in pervasive systems: Overview and evaluation , 2012, TAAS.
[15] Ana L. C. Bazzan,et al. A review on agent-based technology for traffic and transportation , 2013, The Knowledge Engineering Review.
[16] Juan C. Medina,et al. Traffic signal control using reinforcement learning and the max-plus algorithm as a coordinating strategy , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.
[17] Zhe Sun,et al. Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization , 2014, Expert Syst. Appl..
[18] Baher Abdulhai,et al. Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto , 2013, IEEE Transactions on Intelligent Transportation Systems.
[19] Abbas Khosravi,et al. Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network , 2015, Expert Syst. Appl..
[20] Monireh Abdoos,et al. Holonic multi-agent system for traffic signals control , 2013, Eng. Appl. Artif. Intell..
[21] Ana L. C. Bazzan,et al. Learning in groups of traffic signals , 2010, Eng. Appl. Artif. Intell..
[22] Baher Abdulhai,et al. Reinforcement learning for true adaptive traffic signal control , 2003 .
[23] Meng-Hui Wang,et al. An Intelligent Traffic Light Control Based on Extension Neural Network , 2008, KES.