Method of identifying urban expressway recurrent traffic bottlenecks

An identification method and expressway technology, applied in traffic flow detection and other directions, can solve problems such as single data source, no consideration of inherent road attributes, and no traffic bottleneck research.

Pending Publication Date: 2019-06-25
JILIN INST OF CHEM TECH
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the identification of traffic bottlenecks in existing studies, most of the methods used are based on the speed or occupancy detected by fixed detectors on the road, and then combined with artificially set thresholds to judge congestion and non-congestion, which is completely based on a single data source for
Other studies are based on empirical selection of relevant factors that may cause bottlenecks, but do not consider the contradiction between traffic supply and traffic demand, nor do they take into account the inherent attributes of roads
In addition, in terms of the scale of the research, most of the research objects at home and abroad are micro-studies on a section of expressway or urban roads, and there is no macro-study on the traffic bottleneck of a regional road network

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0023] A method for identifying frequent traffic bottlenecks on urban expressways, applied in a road condition prediction system equipped with multiple detectors, said method comprising the following steps:

[0024] S1. Data collection step: determine traffic flow data for predicting road traffic conditions, collect mobile navigation data of road vehicles and road fixed detector data.

[0025] The data source collected in this step includes two parts; the first part is the floating car data collected through the navigation software of the vehicle or mobile terminal, which records the ID number of the vehicle and the position, time, and time of each vehicle per minute. Speed ​​and other information, where the location includes longitude and latitude, time, year, month, date, hour, minute, second and other information; the second part is the microwave data collected by fixed detectors on the roads in the city, which records the detector The location of the section and the flow, ...

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 method of identifying urban expressway recurrent traffic bottlenecks, which is applied to a road condition prediction system provided with a plurality of detectors. The method comprises the following steps: data acquisition is carried out; data fusion is carried out; a corresponding synthesis rule is selected for the traffic flow data of each road section; a saturation critical speed and a supersaturation probability are determined according to flow-speed distribution; traffic bottlenecks are identified; and corresponding countermeasures are proposed according to different types of traffic bottlenecks. Based on fusion of mobile navigation data and data monitored by fixed detectors, a new method of identifying urban expressway recurrent major traffic bottlenecks isdisclosed, data fusion utilization and data mining under the current computer processing capability can be effectively realized, the expressway traffic bottlenecks can be recognized from the urban level, and more accurate and scientific advice is provided for traffic congestion management and optimization.

Description

technical field [0001] The invention relates to the technical field of traffic information control, in particular to a method for identifying frequent traffic bottlenecks on urban expressways. Background technique [0002] With the acceleration of urbanization, the coverage of urban expressways is getting higher and higher, but the expressway load and congestion problems are becoming more and more prominent. Traffic bottlenecks are the direct cause of traffic congestion. How to find the key traffic bottlenecks and manage them in a targeted manner is an important issue in alleviating traffic congestion. [0003] For the identification of traffic bottlenecks in existing studies, most of the methods used are based on the speed or occupancy detected by fixed detectors on the road, and then combined with artificially set thresholds to judge congestion and non-congestion, which is completely based on a single data source. Other studies are based on empirical selection of relevan...

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): G08G1/01
Inventor 邢雪金炳涛吴雪莉季玉茹张晓东林琳王磊
Owner JILIN INST OF CHEM 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