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...
Main Authors: | Kenneth Tze Kin Teo, Kiam Beng Yeo, Yit Kwong Chin, Helen Chuo, Min Keng Tan |
---|---|
Format: | Proceedings |
Language: | English English |
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 |
Similar Items
-
Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022
by: Hussin A.M Yahia, et al.
Published: (2023) -
Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation
by: Helen Sin Ee Chuo, et al.
Published: (2017) -
Genetic algorithm based signal optimizer for oversaturated urban signalized intersection
by: Tan, Min Keng, et al.
Published: (2017) -
Agent-based optimization for multiple signalized intersections using Q-learning
by: Teo, Kenneth Tze Kin, et al.
Published: (2014) -
Agent-based optimization for multiple signalized intersections using q-learning
by: Tze, Kenneth Kin Teo, et al.
Published: (2014)