Exploring Q-learning optimization in traffic signal timing plan management

Chin, Yit Kwong and Lee , Lai Kuan and Nurmin Bolong, and Yang, Soo Siang (2011) Exploring Q-learning optimization in traffic signal timing plan management. In: Proceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011, 28 July 2011, Bali, Indonesia.

Full text not available from this repository.


Traffic congestions often occur within the entire traffic network of the urban areas due to the increasing of traffic demands by the outnumbered vehicles on road. The problem may be solved by a good traffic signal timing plan, but unfortunately most of the timing plans available currently are not fully optimized based on the on spot traffic conditions. The incapability of the traffic intersections to learn from their past experiences has cost them the lack of ability to adapt into the dynamic changes of the traffic flow. The proposed Q-learning approach can manage the traffic signal timing plan more effectively via optimization of the traffic flows. Q-learning gains rewards from its past experiences including its future actions to learn from its experience and determine the best possible actions. The proposed learning algorithm shows a good valuable performance that able to improve the traffic signal timing plan for the dynamic traffic flows within a traffic network.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Q-learning, Traffic flow control, Traffic signal timing plan, Dynamic changes, Dynamic traffic flow, Q-learning, Q-learning approach, Signal timing plan, Timing plans, Traffic conditions, Traffic demands, Traffic flow, Traffic flow control, Traffic intersections, Traffic networks, Traffic signal timing plan, Urban areas
Subjects: Q Science > QA Mathematics
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 21 Sep 2012 02:49
Last Modified: 21 Sep 2012 02:49
URI: http://eprints.ums.edu.my/id/eprint/4921

Actions (login required)

View Item View Item

Browse Repository
   UMS News
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository