Title: Latent ringlike road traffic control system based on compound mechanism particle swarm optimisation algorithm

Authors: Changxi Ma; Yinzhen Li; Ruichun He; Bo Qi; Fang Wu; Aixia Diao; Cunrui Ma

Addresses: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China ' School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou City, Gansu Province, 730070, China

Abstract: Urban traffic congestion is one of the most severe problems of everyday life in many cities. In an effort to deal with this problem, traffic control system technologies have concentrated in recent years on dealing with urban congestion. In the paper, a compound mechanism particle swarm optimisation (CMPSO) algorithm has been proposed, and the algorithm has been effectively used in dealing with the optimisation of city latent ringlike road traffic control system. In the algorithm, the tabu search algorithm and the particle swarm algorithm are combined effectively, and the tabu can offset the local optimums and avoid searching one solution repeatedly. Simulations show the CMPSO algorithm cannot only avoid premature convergence effectively, but also has powerful optimisation ability and higher precision. It makes the rate of delay and numbers of stopping reduce obviously.

Keywords: traffic control; compound mechanism PSO; particle swarm optimisation; CMPSO; simulation; latent ringlike roads; urban traffic congestion; urban congestion; tabu search; traffic delays.

DOI: 10.1504/IJMIC.2013.051933

International Journal of Modelling, Identification and Control, 2013 Vol.18 No.1, pp.47 - 53

Available online: 05 Feb 2013 *

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