Urban logistics distribution range collaborative optimization method

Abstract

The invention discloses an urban logistics distribution range collaborative optimization method, which comprises the steps of 1) obtaining urban road network structure information, urban road networkreal-time traffic flow data, distribution center position and corresponding capacity information, distribution station position and corresponding demand information, and setting the minimum total distribution cost as an optimization principle; 2) calculating the cost C from each center to each station according to the obtained urban road information such as the real-time traffic flow data, and carrying out matching according to the principle that the total cost in the step 1) is minimum; (3) after the step (2) is finished, the remaining stations which are not matched still entering a second matching process, in the process, the remaining stations serving as objects, searching for a distribution center with the minimum distribution cost for matching, and after all the stations are matched,completing the matching process; and 4) outputting a distribution range division optimization result, wherein the distribution range division optimization result comprises distribution cost and a distribution range division scheme. According to the invention, the logistics distribution efficiency can be improved, and the distribution cost can be reduced.

Description

technical field [0001] The invention relates to the technical field of transportation logistics distribution, in particular to a collaborative optimization method for urban logistics distribution range. Background technique [0002] With the rapid development of the Internet era and the steady improvement of the national economy, the logistics industry plays an increasingly important role in people's growing material needs. For logistics companies, distribution costs are the most important considerations in the entire distribution process. . In a complex and changeable transportation network, how to have a logistics distribution plan that minimizes the total cost is the primary problem that logistics companies need to solve today. Among them, the division of distribution scope is particularly important in the whole distribution scheme. Distribution range division refers to the process of determining the distribution range of the center and matching the center and the site ...

AI Technical Summary

Problems solved by technology

The shortcomings of the current urban logistics distribution methods are as follows: (1) Due to the limitations of the solution algorithm and optimization method, the division of the logistics distribution range is usually difficult to achieve global optimality, but only feasible; (2) The weight calculation between the distribution center and the site is a constant, not affected by factors such as time, traffic flow, climate and oil price, which does not match the actual situation

(3) When clustering and dividing the distribution range of the station, the topological structure of the road network is often ignored, and only the geometric distance between two points is considered, which is inconsistent with the actual situation and is difficult to be directly applied

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