Vehicle scheduling method and device based on temporary task and computer equipment
A technology for temporary tasks and computer programs, which is applied in the field of logistics and can solve the problems of low accuracy of vehicle scheduling for temporary tasks.
Pending Publication Date: 2022-04-22
SF TECH
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[0004] However, the way to schedule vehicles for scheduled-to-temporary tasks is to input the planned-to-temporary tasks into the machine learning model for temporary tasks in the form of temporary tasks, and obtain the corresponding driver and vehicle combination, resulting in the temporary task vehicle scheduling low accuracy
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[0057] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0058] In one embodiment, such as figure 1 As shown, a vehicle scheduling method based on temporary tasks is provided. This embodiment uses the method applied to the terminal as an example for illustration. It can be understood that the method can also be applied to the server, and can also be applied to the system, and realized through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:
[0059] Step 102, acquiring hard constraint information of the current temporary task.
[0060] Among them, the current te...
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The invention relates to a temporary task-based vehicle scheduling method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring hard constraint information of a current temporary task; determining a historical matching task matched with the current temporary task from a pre-established historical matching table according to the hard constraint information; according to the first soft constraint information of the current temporary task, determining a soft constraint matching score of a man-vehicle combination corresponding to each historical matching task; according to the man-vehicle frequency, the soft constraint matching score, the man-vehicle frequency threshold and the soft constraint matching score threshold of each historical matching task, determining candidate man-vehicle combinations from the man-vehicle combinations; and according to the man-vehicle frequency and the soft constraint matching score of each candidate man-vehicle combination, sorting the candidate man-vehicle combinations to obtain a target man-vehicle combination of the current temporary task. By adopting the method, the temporary tasks can be accurately scheduled, and the accuracy of vehicle scheduling is improved.
Description
technical field [0001] The present application relates to the technical field of logistics, in particular to a vehicle scheduling method, device and computer equipment based on temporary tasks. Background technique [0002] In the process of advancing digital automation, the big data scheduling model can better handle the allocation of people and vehicles with fixed-period tasks, which is commonly known as static scheduling tasks in the industry. Most of the static scheduling is to plan and schedule the drivers and vehicles for each fixed task for a whole month before the beginning of the month. However, the current big data scheduling model does not have a sufficiently accurate personnel and vehicle allocation plan for temporary tasks, which are called dynamic scheduling tasks in the industry, that is, tasks initiated temporarily on the same day or the day before. [0003] In the task planning of logistics companies' vehicles and drivers, temporary task scheduling has alwa...
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IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/06311G06Q10/06316G06Q10/083G06Q10/0838
Inventor 谢宇昕江洋潘舒静黎碧君张素墁
Owner SF TECH