Multi-network trunk transportation optimization method, computer equipment and storage medium

Abstract

The invention discloses a multi-network trunk transportation optimization method, computer equipment and a storage medium. The method comprises the following steps: acquiring transportation information; establishing a linear programming model according to the transportation information, wherein the target of the linear programming model is the minimum transportation cost and time efficiency, and the constraint condition of the model includes that for a single network, distribution rooms of different goods collection routing areas cannot collect goods; for multiple networks, enabling non-same joint transportation routing intervals not to perform joint transportation; enabling the same goods collection routing area not to allocate goods collection to the low-grade goods collection when the grade is high; performing joint transportation only when a regular bus is driven; only taking one route from all originating places to destinations; sending out all the original goods quantity and the goods collection quantity, and balancing the distribution goods quantity flow; enabling the cargo capacity of each regular bus not to exceed the maximum loading capacity of the regular bus; enabling the loading and carrying quantity on the regular bus line segment to be consistent with the sum of all the target circulation quantities of the line segment; and solving the linear programming model to obtain a transportation optimization scheme.

Description

technical field [0001] The invention relates to the technical field of article transportation. More specifically, it relates to a multi-network backbone transportation optimization method, computer equipment and storage media. Background technique [0002] During the transportation of goods, generally speaking, the volume of goods in most logistics networks does not match the existing routing. Routing, that is, the express flow path and shuttle bus schedule, are optimized based on a single network. For example, the collection of goods in the express network Fighting and stringing up the shuttle bus and other operations. However, as the volume of pieces fluctuates, many different logistics networks will have a mismatch between the volume of goods and the existing routes. Only based on single-network optimization will still lead to problems such as degradation of logistics network service quality and waste of resource costs. Contents of the invention [0003] In order to s...

AI Technical Summary

Problems solved by technology

However, as the volume of pieces fluctuates, the volume of goods in different logistics networks will not match the existing routes. Only based

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