Research on the Urban Logistics Distribution Routing Problem Based on the Right of Way

In order to alleviate the traffic congestion caused by the rapid increase of vehicle ownership and the slow development of urban roads and to improve the efficiency of urban logistics distribution, this paper studies the planning of urban logistics distribution system from the perspective of right of way (ROW). The distribution routing problem is mainly discussed. In this paper, a mathematical model of distribution path with the shortest distribution time as the objective function is established, which limits some aspects of distribution vehicles. The improved ant colony algorithm is used to plan the distribution path, and the optimization of the distribution path is completed according to the constraint conditions of the ant colony algorithm of TSP problem. Then an example is simulated by MATLAB to illustrate the importance of the research-based on ROW. The results show that the improved ant colony algorithm can optimize the distribution path, alleviate the difficult problem of urban distribution which is of great practical significance.