Lane-based real-time queue length prediction method

A technology of queuing length and prediction method, which is applied in the field of intelligent transportation and can solve problems such as the inability to extract and acquire queuing length information

Active Publication Date: 2018-11-06
KUNMING UNIV OF SCI & TECH +2
View PDF12 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a real-time queuing length prediction method for different lanes, the purpose of which is to overcome the shortcomings of the previous queuing length estimation assuming that the arrival of vehicles is the same distribution and the inability to extract and acquire queuing length information

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
  • Lane-based real-time queue length prediction method
  • Lane-based real-time queue length prediction method
  • Lane-based real-time queue length prediction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.

[0059] A kind of lane-divided real-time queuing length prediction method of the present invention, such as figure 1 shown, including:

[0060] Step 1: Use the end time of the green light release of a certain lane as the starting time of queuing length prediction, and obtain the initial queuing length at the starting time through observation, which is the number of remaining queuing vehicles at the end of the green light release. Since the evolution of traffic conditions is usually determined by The unsaturated state transitions to the oversaturated state. When the queue length is estimated from the unsaturated traffic state, the initial queue length is 0;

[0061] Step 2: Using the travel time of the road section as the time difference, determine the release time of the first set interval time of the upstream section, where the set interval ti...

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 relates to a lane-based real-time queue length prediction method and belongs to the technical field of intelligent transportation. The method, based on a traffic wave theory and a Robertson motorcade discrete model, compensates for the defect of a conventional queue length model which assumes that the arrival of vehicles complies with the same distribution (such as Poisson distribution), obtains the real-time number of vehicles passing by an upstream intersection and the license plate number data based on video detection data, obtains the proportions of vehicle traffic flow driving from different phases of the upstream intersection to different lanes of a downstream intersection, comprehensively takes account of the signal design of the upstream and downstream intersections,the length of a road section, and the discrete arrival characteristic of vehicles to predict the queue length in different lanes in real time, converts passive queue length estimation into active queue length prediction, and contributes to the signal optimization design of the associated intersections or the crowded road section in advance, so as to alleviate traffic congestion and improve a traffic environment.

Description

technical field [0001] The invention relates to a lane-divided real-time queuing length prediction method, which belongs to the technical field of intelligent transportation. Background technique [0002] Intersection queue length is a key indicator for intelligent transportation applications such as traffic situation assessment, traffic signal optimization, and traffic guidance. At present, most queuing length estimation models are mainly built on isolated intersections. However, intersections in road networks are often associated, and the capacity and traffic congestion of intersections are often affected by adjacent intersections. As the traffic volume further increases, the influence of adjacent intersections will become more prominent; in addition, in most queuing length studies, it is usually assumed that the arrival distribution of vehicles is consistent, but the relationship between vehicle arrival and flow, travel time, and upstream intersections The release mode a...

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): G08G1/065G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26G08G1/065
Inventor 李冰成卫晏子袁赟锋
Owner KUNMING UNIV OF SCI & 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