Real-time GPS-based bus short-time dynamic scheduling method

A technology of dynamic scheduling and GPS data, which is applied in the traffic control system of road vehicles, traffic control systems, instruments, etc., can solve problems such as ambiguity in the definition of scheduling measures, reduce human errors in adding vehicles, reduce interference from human factors, and improve The effect of accuracy

Active Publication Date: 2019-02-01
BEIJING INST OF AEROSPACE CONTROL DEVICES
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the above-mentioned bus dispatching methods often have vague definitions of various dispatchin

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
  • Real-time GPS-based bus short-time dynamic scheduling method
  • Real-time GPS-based bus short-time dynamic scheduling method
  • Real-time GPS-based bus short-time dynamic scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0089] Based on the actual operation data of No. 11 on the new version of the intelligent dispatching system of Guiyang Public Transport Company, a comprehensive numerical simulation is carried out for a short-term dynamic dispatching method of public transport based on real-time GPS in terms of parameter design and prediction accuracy.

[0090] (1) Threshold design of equalization coefficient

[0091] The threshold value of the equalization coefficient has a crucial influence on the final result of the present invention. Judging from the actual operation of public transport, when the current route is relatively congested, the dispatcher will dispatch more frequently. At this time, the balance coefficient of the algorithm should be more sensitive, so as to adjust the departure interval in time and prevent large intervals. When the current line is relatively smooth, the dispatcher's dispatching frequency is significantly reduced. At this time, the sensitivity of the algorithm's...

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 real-time GPS-based bus short-time dynamic scheduling method. The method comprises the following steps that a maximum line distance maxdis between two adjacent buses on a current line is determined according to real-time GPS data, and in combination with the total length linedis of the current line, a line balance coefficient lambda is determined, wherein a main station and an auxiliary station are regarded as virtual buses to participate in determination of the maximum line distance between the two adjacent buses; the current line balance coefficient lambda is compared with two preset threshold values alpha 1 and alpha 2, and when lambda is smaller than or equal to alpha 1, no adjustment is made; when lambda is greater than alpha 1 and less than or equal to alpha2, a subsequent departure interval is readjusted; when lambda is greater than alpha 2, buses are added from the main station; and the value of the threshold value alpha 1 is a line balance coefficient when the bus of the current line runs according to an ideal state based on a scheduling plan, and it is satisfied that alpha 1 is greater than 0 and less than alpha 2, and alpha 2 is less than 1.

Description

technical field [0001] The invention is a real-time GPS-based short-term dynamic dispatching method for public transport, and relates to a heuristic algorithm for short-term dynamic dispatching of public transport based on an artificial neural network. Background technique [0002] In recent years, with the gradual increase of the income level of urban residents, the number of private car ownership has shown explosive growth, followed by the deteriorating urban traffic conditions and traffic congestion. How to solve the problem of traffic congestion is a severe test faced by governments all over the world. Public transportation has the advantages of large capacity, high transportation efficiency, low energy consumption, relatively little pollution and low transportation cost. Public transportation vehicles are the main carrier of public transportation and the main choice for urban citizens to travel. Therefore, vigorously developing public transportation has become a Major ...

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): G08G1/123
CPCG08G1/123
Inventor 张澍裕董皓谢兵
Owner BEIJING INST OF AEROSPACE CONTROL DEVICES
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