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Systems and methods for optimizing online on-demand and service

A driver-historical technology, applied in the field of optimizing online on-demand services, which can solve problems such as lack of accuracy, limitations of human rules, etc.

Inactive Publication Date: 2019-11-08
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the problem with the prior art of assigning service providers to service requesters is that human-made rules have limitations in adapting to the evolution of services and are sometimes different in different business scenarios (e.g. Orders, Hold Orders, Upgrade Orders, etc.)

Method used

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  • Systems and methods for optimizing online on-demand and service
  • Systems and methods for optimizing online on-demand and service
  • Systems and methods for optimizing online on-demand and service

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Embodiment Construction

[0036] The following description is to enable those of ordinary skill in the art to implement and use the present application, and the description is provided under the circumstances of specific application scenarios and their requirements. It will be apparent to those skilled in the art that various changes can be made in the disclosed embodiments, and that the general principles defined in the application can be applied to other implementations without departing from the principle and scope of the application. examples and application scenarios. Accordingly, the application is not to be limited to the described embodiments, but is to be accorded the widest scope consistent with the claims.

[0037] Terms used in the present application are used to describe specific exemplary embodiments only, and do not limit the scope of the present application. As used in this application, the singular forms "a", "an" and "the" may also include the plural forms unless the context clearly ...

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PUM

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Abstract

Systems and methods for optimizing an online on-demand service are provided. A method may include: obtaining driver information associated with a plurality of historical drivers corresponding to the plurality of historical orders; for each historical driver during a predetermined period of time, determining a plurality of records based on the order information and the driver information accordingto a decision-making processes, each record includes a driver's space-time status, a driver's action, a driver's revenue, and a driver's subsequent space-time status; and determining a value functionbased on the plurality of records of each historical driver according to a reinforcement learning algorithm.

Description

technical field [0001] The present application generally relates to systems and methods for optimizing online on-demand services, and more particularly to systems and methods for optimizing online on-demand services and assigning drivers to new orders. Background technique [0002] On-demand transportation services, especially online car services, have grown in popularity. When a service requester (e.g., a passenger) sends a service request to an online car service platform, the platform can assign a service provider (e.g., a driver) to the service requester based on artificial rules designed to make the assignment more efficient and beneficial. However, the problem with existing techniques for assigning service providers to service requesters is that human-made rules have limitations in adapting to the evolution of services, and are sometimes different in different business scenarios (e.g., drivers’ online and offline actions, carpooling). Orders, Hold Orders, Upgrade Orde...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/30G06Q10/06
CPCG06Q10/02G06Q10/0631G06Q50/40B60W40/09G06Q10/063112G06Q30/0635G08G1/202
Inventor 徐哲李智欣管清文张丁水
Owner BEIJING DIDI INFINITY TECH & DEV