Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation

Helen Sin Ee Chuo and Min Keng Tan and Alex Chee Hoe Chong and Renee Ka Yin Chin and Kenneth Tze Kin Teo (2017) Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation.

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Official URL: https://ieeexplore.ieee.org/document/8239039

Abstract

Urban congestion in major cities of Malaysia is getting severe over decades with increasing active vehicles and travelling time on the road. Part of Intelligent Transportation Systems development involves advanced computation in traffic management to cope for the projecting congestion trend. This work simulates traffic system and develop an optimising algorithm to instruct the traffic signal timing plan. A multiple=intersection traffic system has been developed using probability and statistical model based on the real case traffic data collected from local traffic intersection. Enhanced particle swarm optimisation algorithm is developed to ensure result consistency with smaller variation. As a result, the algorithm suggested signal timing increases the average waiting time of non-congested directions by approximately 4.17% but reduces the queue length at congested junction significantly in order to even up the flow at intersections.

Item Type:	Proceedings
Keyword:	Flow management , Particle swarm optimisation , Traffic network optimisation , Traffic signal timing plan
Subjects:	H Social Sciences > HE Transportation and Communications > HE1-9990 Transportation and communications > HE331-380 Traffic engineering. Roads and highways. Streets
Department:	FACULTY > Faculty of Engineering
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	22 Dec 2021 15:12
Last Modified:	22 Dec 2021 15:12
URI:	https://eprints.ums.edu.my/id/eprint/31484

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