Compensation incentive-based task allocation method in taxi taking platform

Abstract

The invention relates to the field of a compensation incentive-based task allocation method in a taxi taking platform. The method comprises the following steps that: a task publisher publishes a taxitaking task to a taxi taking platform and provides a reward for the taxi taking task; the taxi-taking platform predicts the expectation of the number of drivers receiving the task within the radius with the taxi-taking task position as a circle center; drivers within the task release range select whether to accept the tasks or not after receiving the tasks, and the drivers accepting the tasks submit task accepting applications to the platform; after the taxi taking platform receives the application of the task drivers, the drivers are used as task candidates which are sent to the taxi taking task publisher; the task publisher can select a proper driver from the candidates provided by the platform to accept the task according to his own requirements; and after the task is completed, the platform pays the reward for the task. According to the invention, the task can be assigned to a driver crowd with high task accepting willingness, and the taxi taking task can be published to the drivers in a range closer to the taxi taking task, so the task can be accepted in a closer range.

Description

technical field [0001] The invention relates to the field of task allocation methods, in particular to the field of task allocation methods for compensation and incentives in a taxi-hailing platform. Background technique [0002] With the rapid development of the Internet, Internet technology and applications play an increasingly important role in people's daily life, bringing convenience and speed to people. Many taxi-hailing platforms have also emerged in the field of travel, such as Didi Chuxing, Uber and other taxi-hailing platforms to facilitate people's travel. However, there are still some problems in the current taxi-hailing platform. After the platform releases a taxi-hailing task, all drivers on the platform will receive the task, and all drivers compete for the taxi-hailing task by grabbing orders at the same time. The driver accepts, thereby increasing the time to complete the taxi-hailing task. At the same time, drivers who operate slower may face the problem ...

AI Technical Summary

Problems solved by technology

However, there are also some problems in the current taxi-hailing platform. After the platform releases a taxi-hailing task, all drivers on the platform will receive the task, and all drivers compete for the taxi-hailing task by grabbing orders at the same time. The driver accepts, which increases the completion time of the taxi task

At the same time, drivers who operate slowly may face the problem of being unable to accept orders, thus reducing the enthusiasm of drivers to participate

For the taxi task issuer, the driver can only be designated by the platform, lacking the right to choose a suitable driver

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