Method and device for dynamically adjusting order policy

Abstract

The invention discloses a method and a device for dynamically adjusting an order policy, which relate to the technical field of computer processing. The method comprises steps: after a taxi taking request sent by user equipment (UE) is received and first order information is generated, a pre-built order turnover rate prediction model is adopted to predict a first turnover possibility corresponding to a first transportation capacity system according to the order information; the first turnover possibility is compared with a preset first threshold, a first comparison result is acquired; and when the first turnover possibility is lower than the preset first threshold, order adjustment reminding information is pushed to the UE. The device comprises an order turnover possibility evaluation module, a comparison module and a reminding information pushing module. After the taxi taking request is received, the turnover possibility is firstly predicted, the passenger can be timely reminded to adjust the order when the predicted turnover possibility is low, the order turnover possibility is improved, and the taxi taking experience of the passenger is enhanced.

Description

technical field [0001] The invention relates to the technical field of computer processing, in particular to a method and device for dynamically adjusting an order strategy. Background technique [0002] At present, the use of taxi-hailing systems has become more and more common. Passengers can conveniently hail taxis by installing the taxi-hailing system on User Equipment (UE) and issuing a taxi-hailing request. For the taxi-hailing system, the order situation during the peak period is completely different from that during the off-peak period: there are fewer orders during the off-peak period, and the driver’s capacity cannot be effectively released; while during the peak commuting period, due to the sharp increase in orders, the supply of drivers is seriously insufficient. [0003] The existing taxi-hailing system can only passively schedule between passenger orders and drivers. When it is in the peak period of taxi-hailing, it is easy to have a low order transaction rate;...

AI Technical Summary

Problems solved by technology

[0003] The existing taxi-hailing system can only passively schedule between passenger orders and drivers. When it is in the peak period of taxi-hailing, it is easy to have a low order transaction rate; in addition, when the order quality is poor, if the departure place is far from the destination Very close, the destination is in a remote suburb, and the road conditions are congested, etc., it is easy to cause the driver to be unwilling to accept the order, and it is easy to cause the order turnover rate to be low

For passengers, after placing a taxi order, because they often do not know the receipt of the order, they can only wait passively. During the peak period or when the order quality is poor, the order transaction rate is low; in addition, because the taxi system cannot timely Feedback to passengers that the order transaction rate is low, making passengers unable to successfully take a taxi after waiting for a long time, which affects the passenger taxi experience

Images