Agent-based traffic flow optimization at multiple signalized intersections

Relieving 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...

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Main Authors: Kenneth Tze Kin Teo, Kiam Beng Yeo, Yit Kwong Chin, Helen Chuo, Min Keng Tan
Format: Proceedings
Language:en
en
Published: IEEE 2014
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/31456/2/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31456/1/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections.pdf
https://eprints.ums.edu.my/id/eprint/31456/
https://ieeexplore.ieee.org/document/7079269
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author Kenneth Tze Kin Teo
Kiam Beng Yeo
Yit Kwong Chin
Helen Chuo
Min Keng Tan
author_facet Kenneth Tze Kin Teo
Kiam Beng Yeo
Yit Kwong Chin
Helen Chuo
Min Keng Tan
author_sort Kenneth Tze Kin Teo
building UMS Library
collection Institutional Repository
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
continent Asia
country Malaysia
description Relieving 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 so that immediate actions can be taken when congestion is happening to minimize the number of vehicles in queue. QLTS has better performance than the existing common fixed-time traffic signalization (FTS) in dealing with the ramp flow due to its flexibility in changing the traffic signal with accordance to the traffic conditions and necessity.
format Proceedings
id my.ums.eprints-31456
institution Universiti Malaysia Sabah
language en
en
publishDate 2014
publisher IEEE
record_format eprints
spelling my.ums.eprints-314562021-12-22T00:52:28Z https://eprints.ums.edu.my/id/eprint/31456/ Agent-based traffic flow optimization at multiple signalized intersections Kenneth Tze Kin Teo Kiam Beng Yeo Yit Kwong Chin Helen Chuo Min Keng Tan HE369-373 Traffic surveys (General) Relieving 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 so that immediate actions can be taken when congestion is happening to minimize the number of vehicles in queue. QLTS has better performance than the existing common fixed-time traffic signalization (FTS) in dealing with the ramp flow due to its flexibility in changing the traffic signal with accordance to the traffic conditions and necessity. IEEE 2014 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/31456/2/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections-ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/31456/1/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections.pdf Kenneth Tze Kin Teo and Kiam Beng Yeo and Yit Kwong Chin and Helen Chuo and Min Keng Tan (2014) Agent-based traffic flow optimization at multiple signalized intersections. https://ieeexplore.ieee.org/document/7079269
spellingShingle HE369-373 Traffic surveys (General)
Kenneth Tze Kin Teo
Kiam Beng Yeo
Yit Kwong Chin
Helen Chuo
Min Keng Tan
Agent-based traffic flow optimization at multiple signalized intersections
title Agent-based traffic flow optimization at multiple signalized intersections
title_full Agent-based traffic flow optimization at multiple signalized intersections
title_fullStr Agent-based traffic flow optimization at multiple signalized intersections
title_full_unstemmed Agent-based traffic flow optimization at multiple signalized intersections
title_short Agent-based traffic flow optimization at multiple signalized intersections
title_sort agent-based traffic flow optimization at multiple signalized intersections
topic HE369-373 Traffic surveys (General)
url https://eprints.ums.edu.my/id/eprint/31456/2/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31456/1/Agent-based%20traffic%20flow%20optimization%20at%20multiple%20signalized%20intersections.pdf
https://eprints.ums.edu.my/id/eprint/31456/
https://ieeexplore.ieee.org/document/7079269
url_provider http://eprints.ums.edu.my/