Agent-Based Optimization for Multiple Signalized Intersections using Q-Learning

Simple item page
dc.contributor.authorYit Kwong Chin
dc.contributor.authorKiam Beng Yeo
dc.contributor.authorKenneth Tze Kin Teo
dc.contributor.authorHelen Sin Ee Chuo
dc.contributor.authorMin Keng Tan
dc.date.accessioned2023-03-09T07:44:35Z
dc.date.available2023-03-09T07:44:35Z
dc.date.issued2014-12-30
dc.descriptionJournal: International Journal of Simulation- Systems, Science and Technology- IJSSST V15
dc.description.abstractRelieving 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 Q-learning actuated traffic signalization (QLTS), where the traffic phases will be monitored as immediate actions can be taken during congestion to minimize the number of vehicles in queue. QLTS is tested under two cases and has better performance than common fixed-time traffic signalization (FTS). When dealing with the ramp flow, QLTS has flexibility to change the traffic signals according to the traffic conditions and necessity.
dc.identifier.urihttps://digitallibrary.peninsulacollege.edu.my/handle/123456789/83
dc.language.isoen_US
dc.publisherFaculty of Engineering, Universiti Malaysia Sabah Kota Kinabalu, Malaysia
dc.titleAgent-Based Optimization for Multiple Signalized Intersections using Q-Learning
dc.title.alternativeAgent-Based Optimization for Multiple Signalized Intersections using Q-Learning
dc.typeWorking Paper
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Chin Yit Kwong - Agent-Based Optimization for Multiple Signalized Intersections using Q-Learning .pdf
Size:
1.57 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
738 B
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
Article Writing