A lane-divided real-time queue length prediction method

A technology of queuing length and prediction method, applied in the field of intelligent transportation, can solve the problem of inability to extract and obtain queuing length information.

Active Publication Date: 2021-03-02
KUNMING UNIV OF SCI & TECH +2
View PDF12 Cites 0 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
  • A lane-divided real-time queue length prediction method
  • A lane-divided real-time queue length prediction method
  • A lane-divided 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-divided real-time queuing length prediction method, which belongs to the technical field of intelligent transportation. The present invention is based on the traffic wave theory and the discrete model of the Robertson fleet, and makes up for the deficiency in the previous queuing length model assuming that the arrival of vehicles obeys the same distribution (such as Poisson distribution); relying on video detection data to obtain the real-time number of passing vehicles at the upstream intersection And the vehicle license plate data obtained the traffic flow ratio of different phases of traffic flow at the upstream intersection to the different lanes of the downstream intersection, taking into account the signal design of the upstream and downstream intersections, the length of the road section, and the discrete arrival characteristics of vehicles. Carry out real-time prediction of lane division, and convert passive queuing length estimation to active queuing length prediction, which is convenient for optimizing the signal design of associated intersections or congested road sections in advance, so as to alleviate traffic congestion and improve the travel 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 Patents(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