Traffic signal optimization using cultural algorithm

Min Keng Tan and Hon Yang Vun and Helen Sin Ee Chuo and Kit Guan Lim and Soo Siang Yang and Kenneth Tze Kin Teo (2022) Traffic signal optimization using cultural algorithm.

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Abstract

Traffic congestion is one of the major issues in most cities. Over time, traffic congestion is increasing due to the increasing number of road users. The conventional nonadaptive traffic signal control strategy is inadequate to optimize the traffic flow during peak hours. Thus, this paper explores the feasibility of optimizing traffic signal timing using cultural algorithm to minimize the traffic queue length at every intersection within a network. Since the traffic congestion can be propagated from upstream intersection to downstream intersection, the proposed algorithm will consider the traffic condition at neighboring intersections when computing the optimum traffic signal timing. The performance of the proposed algorithm is simulated and compared with the conventional fixed timing system. The results show the proposed cultural algorithm is able to improve the traffic flow by 20 %.

Item Type:	Proceedings
Keyword:	Cultural algorithm, traffic signal optimization, traffic networ
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA299.6-433 Analysis Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Department:	FACULTY > Faculty of Engineering
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	05 Nov 2024 14:17
Last Modified:	05 Nov 2024 14:17
URI:	https://eprints.ums.edu.my/id/eprint/41735

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