Title: An improved artificial fish swarm algorithm for traffic signal control

Authors: Bin Lu; Qiang Wang; Yang Wang

Addresses: Department of Computer, North China Electric Power University, Baoding 071003, China ' Department of Computer, North China Electric Power University, Baoding 071003, China ' Department of Computer, North China Electric Power University, Baoding 071003, China

Abstract: The excessive growth of car ownership has caused great pressure on urban traffic. The traffic congestion is the most acute problem. One of the main causes of traffic congestion is the unreasonable scheme of traffic signal timing at road intersections. In view of the limitation of Webster algorithm, we combine the artificial fish swarm algorithm, chaos search and feedback strategy based on the optimisation theory of the signal timing problem to solve this problem. Furthermore, we apply the algorithm to the field of the traffic signal control. We set the average of vehicle delays and parking numbers as the target and improve the target road intersection timing scheme by using the optimisation algorithm. This method enhances the capacity of the target intersection effectively. Taking the condition of the target road intersection and the basic data into consideration, we construct the simulation model of the road intersection through the VISSIM simulation modelling tool. Then we import the relevant data and obtain a new timing plan which sets a new cycle and the green light duration of each phase. Compared to the original method, the algorithm based on the artificial fish-swarm is feasible and effective.

Keywords: artificial fish swarm algorithm; intersection; traffic light control; signal timing; VISSIM simulation.

DOI: 10.1504/IJSPM.2019.106158

International Journal of Simulation and Process Modelling, 2019 Vol.14 No.6, pp.488 - 499

Received: 02 Aug 2018
Accepted: 04 Mar 2019
Published online: 01 Apr 2020 *

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