Task planning method and device, computer equipment and storage medium

Abstract

The invention discloses a task planning method and device, computer equipment and a storage medium. The task planning method comprises the steps of obtaining a plurality of transportation tasks of a to-be-planned path of a target area; obtaining transport capacity resource information of all logistics branches participating in planning in the target area; counting constraint data for planning theplurality of transportation tasks according to the transportation capacity resource information; according to the constraint data, planning a transportation plan for the multiple transportation tasks,and the transportation plan comprises the number of planned vehicles executing the multiple transportation tasks, the types of the planned vehicles and transportation paths. On the basis that only line combination between every two logistics network points can be considered in the prior art, all the logistics network points participating in planning in the target area can participate in planningtogether, the transportation technology is integrally planned from the global perspective of the target area, a large number of transportation tasks can be planned at a time, the planned vehicle transportation path is better, the transport task planning efficiency is improved, and the later operation cost of the planning plan is reduced.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a task planning method, device, computer equipment and storage medium. Background technique [0002] Arterial transport capacity resource planning mainly refers to the vehicle route planning in arterial road transportation. Specifically, given a series of tasks, the start and end locations and time of the tasks have been determined. On this basis, it is necessary to plan the task connection of the main line vehicles under the constraints of the actual situation, and finally output the driving path of the vehicles. and vehicle type. [0003] Trunk capacity resource planning is very important in large-scale trunk road transportation networks. Taking a domestic express company as an example, there are more than 1,000 tasks involving 40 stations in a province that need to be planned every day. The results of the planning directly affect the resource input and cost of...

AI Technical Summary

Problems solved by technology

The results of planning directly affect the resource input and cost of the transportation network

[0004] In response to this problem, the current vehicle planning for trunk road transportation mainly relies on manual calculations. Limited by the complexity that humans can consider, capacity resource planning can only narrow the scope of planning, considering some routes, single or a few logistics outlets, and fewer tasks. In some cases, the output vehicle lines are generally short, and it is impossible to consider the connection of multiple tasks

This method starting from a local perspective cannot find the optimal solution from a global perspective, resulting in a high proportion of unilateral lines in actual operation and a large number of vehicles, resulting in high operating costs for the overall line

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