Title: An improved layered parallel particle swarm optimisation algorithm for the interchange traffic control

Authors: Ruichun He; Changxi Ma

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

Abstract: An improved layered parallel particle swarm optimisation (ILPPSO) algorithm has been developed based on layered parallel tactics and catastrophe tactics. In the algorithm, the new inertial parameter was used, and two layers independent sub-swarms were cooperative optimised. The catastrophe occurred when inferior sub-swarms sink into a local optimum value, which can make the population evolve forward continuously, prevent an algorithm precocious refrain, insure obtain the global optimum solution. The experiment study shows that the ILPPSO algorithm can improve the searching ability, get the optimum result. Aiming at the expressway interchange jam problem, the traditional ramp fuzzy control algorithm is not ideal. This paper applies the ILPPSO algorithm to optimise the interchange ramp control parameters. The simulation results show that the ICPPSO algorithm was more effective than the standard PSO algorithm and genetic algorithm, and was able to carry out real-time parameters optimisation of interchange ramp control.

Keywords: particle swarm optimisation; layered PSO; traffic interchange; traffic control; expressway interchange; traffic jams; traffic congestion; ramp control; simulation.

DOI: 10.1504/IJCSM.2015.072965

International Journal of Computing Science and Mathematics, 2015 Vol.6 No.5, pp.434 - 441

Received: 30 Mar 2015
Accepted: 14 May 2015
Published online: 10 Nov 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article