Vehicle scheduling method based on fuzzy decision

A technology for vehicle scheduling and fuzzy decision-making, which is applied to road vehicle traffic control systems, instruments, and traffic control systems. The probability of drivers receiving orders, saving polling time, and increasing the probability of receiving orders

Inactive Publication Date: 2012-06-20
BEIJING DONGFANGCHEYUN INFORMATION TECH
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, before polling, the willingness of each vehicle driver to receive orders is not known, so polling is often not targeted, resulting in

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
  • Vehicle scheduling method based on fuzzy decision
  • Vehicle scheduling method based on fuzzy decision
  • Vehicle scheduling method based on fuzzy decision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Embodiments of the present invention: a vehicle scheduling method based on fuzzy decision-making, such as figure 1 shown, including the following steps:

[0026] S1, performing scheduling filtering on candidate vehicles, where the candidate vehicles refer to vehicles that are currently idle, and the scheduling filtering refers to filtering out vehicles whose scheduling conflicts with the order time;

[0027] S2, performing effective distance filtering on the above-mentioned filtered candidate vehicles;

[0028] S3, using the Bayesian reliability network to screen the vehicles most likely to receive orders.

[0029] In the above method, the self-schedule described in step S1 includes the schedule of the vehicle’s accepted order and the private schedule outside the service system, taking into account all the conditions included in the schedule, thereby narrowing the scope of polling and making polling more targeted.

[0030] In the above-mentioned method, the effective...

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 discloses a vehicle scheduling method based on a fuzzy decision. The method comprises the following steps of: S1, performing schedule filtering on candidate vehicles; S2, performing effective distance filtering on the filtered candidate vehicles; and S3, screening the vehicles which most possibly receive orders by making use of a Bayesian Belief Network. According to the method, the candidate vehicles are excluded according to objective conditions, namely, after the candidate vehicles are excluded according to the schedules of the vehicles and after the distances between the vehicles and the pick up locations are excluded, the order receiving intentions of the drivers of the rest of candidate vehicles are calculated by the Bayesian Belief Network, so that the vehicles which most possibly receive orders are filtered, and then the filtered vehicles which most possibly receive orders are polled, thus, the polling is more targeted, the probability for receiving orders is greatly improved, and the time for polling the candidate vehicles which are less likely to receive orders is saved. Large amounts of data statistics shows that after the adoption of the method provided by the invention, the candidate vehicles are polled, and the probability for receiving orders is improved by 10-15%.

Description

technical field [0001] The invention relates to a vehicle scheduling method based on fuzzy decision-making, and belongs to the technical field of vehicle scheduling. Background technique [0002] Taxi is an important means of transportation for people to go out in cities. How to quickly dispatch vehicles to meet the increasing needs of users has become a new challenge for various car platforms. At present, each car platform adopts the following method for vehicle scheduling: check which vehicles are empty on the background server, then poll the empty vehicles near the place where passengers want to board, and then determine the desired vehicle according to the results of the polling. dispatched vehicles. However, before the polling, the willingness of each vehicle driver to receive orders is not known, so the polling is often not targeted, resulting in a low probability of receiving orders, that is, a low efficiency of vehicle scheduling, wasting a lot of time for blind in...

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
IPC IPC(8): G08G1/00
Inventor 汤鹏王柏
Owner BEIJING DONGFANGCHEYUN INFORMATION TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap