Optimization of signalized traffic network using swarm intelligence

Min, Keng Tan and Kit Guan Lim and Mohd.Riezman Ladillah and Ka, Renee Yin Chin and Sin, Helen Ee Chuo and Tze, Kenneth Kin Teo (2021) Optimization of signalized traffic network using swarm intelligence.

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Traffic lights are the signaling devices located at a road intersection for granting right-of-way movement to road users. Thus, optimization of traffic signalization is essential to improve road service as it is the cost-effective way. Commonly, the signal optimization aims to minimize the average travel delay by manipulating the green signal timing. Besides to optimize the signal timing, the local intersection controller needs to collaborate with neighboring intersection controllers for minimizing the average delay for whole network as the congestion will be propagated to the downstream intersection. However, the current fixed-time signal controller is inadequate to manage the high growing demands of traffic as it is tuned offline using the nominal traffic flow data. Thus, this work aims to explore the potential of using Particle Swarm Optimization (PSO) to optimize the traffic signal timing for the traffic network. The proposed algorithm is texted using a benchmarked 1x2 traffic model and its performances are compared with the classical Genetic Algorithm (GA). The simulated results show the proposed PSO has improved the performances in minimizing average travel delay by 3.94 %.

Item Type: Proceedings
Keyword: Traffic signal optimization , Particle swarm optimization , Traffic delay minimization
Subjects: T Technology > TE Highway engineering. Roads and pavements > TE1-450 Highway engineering. Roads and pavements
Department: FACULTY > Faculty of Engineering
Depositing User: DG MASNIAH AHMAD -
Date Deposited: 03 May 2022 19:54
Last Modified: 03 May 2022 19:54
URI: https://eprints.ums.edu.my/id/eprint/32500

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