Optimal vehicle distribution route planning based on intelligent logistics system

The solution efficiency and accuracy of traditional vehicle route planning algorithm will decrease greatly in face of a large-scale logistics distribution. This study proposes an intelligent solution system for vehicle distribution route planning. Taking the optimal intelligent search algorithm as the core, this study explores the optimal route planning of logistics distribution vehicles by integrating the basic theories, such as fuzzy clustering and operations research. This study first carries out fuzzy clustering of distribution areas and customers according to geographical environment, urban layout and customer attribute so as to provide data pre-processing for subsequent vehicle distribution route planning. Considering the factors, such as the number of regional customers and the quantity of distribution goods, an optimal intelligent search algorithm for the distribution vehicle route planning is designed by taking the accumulated travelling distance, running time and total logistics cost of distribution vehicles as the optimization objective. The calculation results show that this method can effectively reduce the calculation time and the number of distribution vehicles, and the solution efficiency of the algorithm doesn't reduce after the increase of the overall size of the logistics, which proves the feasibility of this method and provides a new idea for the research of intelligent logistics. © 2019 Editura Politechnica. All rights reserved.