Transport capacity scheduling method and device, computer equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses a transport capacity scheduling method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: obtaining order data and historical track data of a vehicle, and extracting geofence features and vehicle features; calculating and classifying the accessed order data and the track data of the vehicle in real time; predicting fences with insufficient transport capacity or excessive transport capacity according to the geofence characteristics, and matching fence vehicles in real time; formulating a schedulingplan according to the matched vehicle and fence information, the scheduling plan being a mapping table from the vehicle to a geofence; and synchronizing the scheduling plan to an operation system, and making a scheduling strategy and finishing final scheduling by the operation system. Therefore, the scheduling efficiency is improved, transport capacity scheduling is completed in advance, and thehigh matching failure rate caused by transport capacity shortage and excess transport capacity is avoided. And in historical big data operation, the data value is exerted, and the early warning and operation capability of the scheduling system is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of vehicles, and in particular, to a capacity scheduling method, device, computer equipment, and computer-readable storage medium. Background technique [0002] The most common transportation capacity is taxis, private cars and trucks, and the larger ones include ships, trains and planes, which can help users complete the transportation needs of people and things. Capacity scheduling is a very important link in the logistics industry and travel scenarios. It matches people and vehicles or goods and vehicles, and then dispatches capacity to the corresponding geo-fences to fulfill user travel and cargo transportation needs. [0003] In the early days of taxi or delivery, more offline methods were used, taxis were hailed on the side of the road, and delivery was done on the spot where there were truck drivers to confirm the transaction. With the development of Internet technology and the popu...

AI Technical Summary

Problems solved by technology

[0005] The existing capacity scheduling method will have the problem of low scheduling efficiency

When the order volume of a certain geofence increases significantly, the shipping capacity of the geofence will be in a state of shortage, and a large number of orders cannot be successfully matched, resulting in a backlog of orders, poor user experience, and even cancellation of orders

However, in some areas, there is a surplus of transportation capacity, resulting in some vehicles being idle, and the transportation capacity is not effectively utilized, resulting in waste of resources

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