Title: An improved 2-OPT optimisation scheme for Hamilton loop

Authors: Sun Bo; Lu Shicai; You Yongquan; Ren Chuanxiang

Addresses: College of Intelligent Equipment, Shandong University of Science and Technology, Shandong Province 271000, Tai'an Jinan, China ' College of Intelligent Equipment, Shandong University of Science and Technology, Shandong Province 271000, Tai'an Jinan, China ' School of Electronic Information Engineering, Shandong University of Science and Technology, Shandong Province 266590, Tai'an Jinan, China ' College of Transportation, Shandong University of Science and Technology, Shandong Province 266590, Tai'an Jinan, China

Abstract: Aiming at the problem that the traditional traffic route planning has a single target strategy and cannot be adjusted according to the actual situation, a multi-lane planning model based on Hamilton loops is proposed, which uses the characteristics of Hamilton loops to cover all nodes in the set and uses the nearest neighbour algorithm to obtain the initial loop. The improved 2-OPT algorithm avoids the problem caused by randomness and improves the efficiency of 2-OPT algorithm. In the case of considering road congestion, the introduction of speed parameters and comprehensive influence factors can give different path planning schemes according to different actual situations, and find the shortest time path and the shortest path, which makes Hamilton loop model more practical. The simulation results verify that the improved model can meet different planning requirements, achieve more targeted path planning, optimise the path planning scheme, and enhance people's travel efficiency.

Keywords: Hamilton loop; 2-OPT algorithm; path planning.

DOI: 10.1504/IJCAT.2020.111608

International Journal of Computer Applications in Technology, 2020 Vol.64 No.2, pp.151 - 157

Received: 30 Apr 2020
Accepted: 17 Jun 2020

Published online: 30 Nov 2020 *

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