Shared bicycle riding-back probability and loss probability prediction method and device

Abstract

The embodiment of the invention provides a shared vehicle riding-back probability and loss probability prediction method and device. The prediction method comprises the steps of determining related information of a target shared vehicle from related information of shared vehicles ridden out of a designated operation area; obtaining characteristic values of the related information of the target shared vehicle under the vehicle characteristics and the position characteristics; and inputting the characteristic value of the related information of the target shared vehicle into a pre-trained sharedvehicle riding-back probability prediction model, and predicting to obtain the riding-back probability of the target shared vehicle being ridden back to the specified operation area after the targetshared vehicle is ridden out of the specified operation area. According to the method, the riding-back probability of a shared vehicle ridden outside a formulated operation area is predicted; in thisway, manual operation and maintenance can be conducted on the shared vehicles with the low riding-back probability in a targeted mode, the shared vehicles with the high riding-back probability are likely to be ridden back to the designated operation area by the user, and the input cost of the sharing platform on manual operation and maintenance personnel is reduced.

Description

technical field [0001] The present application relates to the field of computer application technology, and in particular, to a method and device for predicting ride-back probability and loss probability of a shared vehicle. Background technique [0002] In order to facilitate asset management, the sharing platform usually sets up multiple operating areas when operating shared vehicles; the sharing platform releases shared vehicles corresponding to the operating area in each operating area, and requires users to use them in the designated operating area Shared vehicles corresponding to the designated operating area. The current way to prevent users from riding the shared vehicle outside the designated operating area is generally to charge high fees to users who ride the shared vehicle outside the corresponding designated operating area. However, in the actual operation process, there will still be a large number of shared vehicles being ridden out of the designated operatio...

AI Technical Summary

Problems solved by technology

[0003] In actual operation, a large number of operation and maintenance personnel are required for manual operation and maintenance, resulting in a large amount of cost for the shared platform to be invested in manual operation and maintenance.

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