Q-learning based traffic optimization in management of signal timing plan

Chin, Yit Kwong and Nurmin Bolong and Aroland, McOnie Jilui Kiring and Yang, Soo Siang and Teo, Kenneth Tze Kin (2011) Q-learning based traffic optimization in management of signal timing plan. International Journal of Simulation: Systems, Science and Technology, 12 (3). pp. 29-35. ISSN 1473-8031

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Abstract

Occurrences of traffic congestions within the urban traffic network are increasing in a rapid rate due to the rising traffic demands of the outnumbered vehicles on road. The effectiveness of management from traffic signal timing planner is the key solution to solve the traffic congestions, but unfortunately the current traffic light signal system is not fully optimized based on the dynamic traffic conditions on the road. Adaptable traffic signal timing plan system with ability to learn from their past experiences is needed to overcome the dynamic changes of the urban traffic network. The ability of Q-learning to prospect gains from future actions and obtain rewards from its past experiences allows Q-learning to improve its decisions for the best possible actions. A good valuable performance has been shown by the proposed learning algorithm that able to improve the traffic signal timing plan for the dynamic traffic flows within a traffic network.

Item Type:	Article
Keyword:	Learning algorithm, Q-learning, Signal timing plan, Traffic control, Dynamic changes, Dynamic traffic conditions, Dynamic traffic flow, Key solution, Rapid rate, Signal timing plan, Traffic demands, Traffic light, Traffic networks, Traffic optimization, Urban traffic networks, Highway administration, Optimization, Roads and streets, Signal systems, Timing circuits, Traffic congestion, Traffic control, Street traffic control
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering Q Science > QA Mathematics
Department:	SCHOOL > School of Engineering and Information Technology
Depositing User:	ADMIN ADMIN
Date Deposited:	16 Jul 2012 10:35
Last Modified:	31 Aug 2021 13:24
URI:	https://eprints.ums.edu.my/id/eprint/4555

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