Designated driver scheduling method based on order prediction

A scheduling method and driver technology, which is applied in the field of scheduling of substitute drivers, can solve problems such as unbalanced delivery capacity of substitute drivers, and achieve the effect of meeting the needs of substitute drivers, improving effectiveness and accuracy, and ensuring accuracy

Active Publication Date: 2021-08-13
BEIJING YIXIN YIXING AUTOMOBILE TECH DEV SERVICE
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] As a link between users and drivers, the driver platform must quickly respond to the needs of users and ensure that drivers can serve more orders and earn more income. However, there are many uncertainties in reality. , such as the on-line time, on-line location, and when the order is generated, these uncertainties have caused the unbalanced capacity of the driver

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Designated driver scheduling method based on order prediction
  • Designated driver scheduling method based on order prediction
  • Designated driver scheduling method based on order prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them.

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "provided with" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a designated driver scheduling method based on order prediction. The method comprises steps S1 to S8. By adopting the designated driver scheduling method in the step S1 to the step S8, driver scheduling between an order hot spot area and a driver surplus area in any city can be realized, so that the utilization rate of driver transport capacity is improved; meanwhile, based on the dispatching method of the designated drivers in the step S1 to the step S8, the transport capacity of the drivers can be redistributed to achieve transport capacity distribution optimization, so that more designated driving requirements are met, and the utilization rate of the transport capacity of the drivers is improved. Moreover, according to the method, real-time data is adopted for carrying out transport capacity scheduling, and the execution state of the scheduling instruction is continuously tracked, so that the influence of data lag and instruction failure on the scheduling accuracy is reduced, and the driver scheduling accuracy is ensured. In addition, due to the fact that various parameter factors are involved in the comprehensive cost model of the method, the effectiveness and accuracy of the scheduling instruction are improved.

Description

technical field [0001] The invention relates to the technical field of transportation capacity planning, in particular to a method for dispatching a substitute driver based on order prediction. Background technique [0002] With the continuous improvement of people's safety awareness, it has become a consensus not to drink and drive, and the driving service is gradually becoming known to the public. According to incomplete statistics, surrogate driving services can prevent more than 3 million traffic accidents caused by drunk driving each year. Represented driving has formed a new economic format and has become an effective means to control drunk driving and reduce traffic safety accidents. With the rapid development of the mobile Internet, smartphones have become a must-have item of life. It has become a routine process for surrogate driving services to call surrogate drivers on smartphones, dispatch orders on surrogate driving platforms, and surrogate drivers receive order...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/06G06Q50/30
CPCG06Q10/04G06Q10/06311G06Q30/0635G06Q50/30
Inventor 于杨
Owner BEIJING YIXIN YIXING AUTOMOBILE TECH DEV SERVICE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products