Driver queuing online car-hailing transparent order receiving method

Abstract

The invention belongs to the field of online car-hailing, and particularly discloses an online car-hailing transparent order receiving method for driver queuing, which comprises the following steps: S1, separating the relationship between the driver service quality and the order receiving strategy, so that the credibility of the driver to platform order sending can be improved due to the irrelevance between the driver service quality and the order receiving strategy; the online car-hailing platform sets that the service quality of the driver is only related to the drawing proportion and the driver reward and is not related to the order receiving strategy, specifically, if the service quality of the driver is good, the drawing proportion of the online car-hailing platform is low, and the driver can participate in a higher-level driver reward activity; according to the method, the orders are sent through the driver queues in the single area and the surrounding area, the algorithm model is simple, the execution efficiency is high, the relation between order judgment and the driver service quality is relieved, the drivers are promoted to improve the service quality, and compared with an existing technical method, the satisfaction degree of the drivers and the trust to an online car-hailing platform are improved.

Description

technical field [0001] The invention relates to the field of online car-hailing, in particular to a method for transparently receiving orders for online car-hailing where drivers line up. Background technique [0002] In the field of online car-hailing, passengers call the online car-hailing platform through the app, and the online car-hailing platform matches nearby drivers. If there is a driver nearby, it will notify the driver to pick up the order. The online car-hailing platform will assign service points to drivers based on their service level, and determine the driver who will pick up the driver based on comprehensive factors such as service points and order-taking distance. The long-term low order book makes drivers feel that receiving orders is opaque, and drivers cannot know whether there are passengers nearby. They lack trust in online car-hailing platforms, causing dissatisfaction and complaints. [0003] Based on this, the present invention discloses a method fo...

AI Technical Summary

Problems solved by technology

The online car-hailing platform will assign service points to drivers based on their service level, and determine the driver who will pick up the driver based on comprehensive factors such as service points and order distance. The low order book for a long time makes the driver feel that the order is not transparent, and the driver cannot know whether there are passengers nearby, and the lack of trust in the online car-hailing platform has caused dissatisfaction and complaints

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