Method and device for determining price multiple of reservation order

Abstract

The embodiment of the invention relates to the technical field of network car booking, in particular to a method for determining the price multiple of an appointment order, comprising the following steps: receiving the information including the appointment order data sent by a terminal; acquiring characteristic data related to a price multiple of the booking order; calculating a price multiple ofthe booking order based on the characteristic data and a prediction model generated in advance. Through the technical proposal of the embodiment of the invention, on the one hand, the price multiple is more consistent with the prediction of various characteristic data such as the future start time, the start position and the like, so that the passenger can reasonably decide whether the reservationorder needs to be adjusted according to the adjusted price, so as to balance the supply and demand of the future start time and the start position transportation capacity; On the other hand, it can reasonably improve the revenue of the driver who receives the reservation order, ensure the driver 's enthusiasm to accept the reservation order, and indirectly improve the order acceptance rate of thereservation order.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of online car-hailing, and in particular, to a method for determining a price multiple of a reservation order and a device for determining a price multiple of a reservation order. Background technique [0002] The current dynamic price adjustment strategy in the field of online car-hailing can balance the supply and demand relationship between passengers and drivers to a certain extent, and increase the income of drivers. For example, when a passenger places an online car-hailing order at a certain moment, the corresponding price multiple can be determined according to the location of the passenger and the ratio of the current idle driver to the car-hailing order. For example, the greater the ratio of the car-hailing order to the idle driver, Then the price multiple is bigger. [0003] However, the current dynamic price adjustment strategy is only applicable to real-time orders. If...

AI Technical Summary

Problems solved by technology

[0003] However, the current dynamic price adjustment strategy is only applicable to real-time orders. If a passenger generates a reservation order for a ride at a certain time and place in the future, the price multiple of the reservation order will not increase. The ratio of car-hailing orders to idle drivers is relatively large, that is, the supply of idle drivers is in short supply. Since the price multiple of reservation orders has not increased, it is impossible to increase the driver's income at the time of reservation and the starting point of reservation, and It also fails to balance the supply and demand of passengers and drivers

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