Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Road congestion reason identification method

A technology for identifying methods and causes, applied in the field of intelligent transportation, to achieve the effect of accurate identification results

Inactive Publication Date: 2021-06-11
XIDIAN UNIV
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method can effectively identify the bottleneck of traffic congestion, its shortcoming is that it ignores the influence of traffic congestion at intersections and can only locate the cause of traffic congestion on specific road sections

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
  • Road congestion reason identification method
  • Road congestion reason identification method
  • Road congestion reason identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Below in conjunction with accompanying drawing and embodiment, the present invention is described in further detail:

[0035] Refer to attached figure 1 , a kind of road congestion reason identification method that the present invention proposes, comprises the following steps:

[0036] Step 1: Input the road network data sample of Sioux Falls to construct a dataset, and record the predictor variable of the input sample as x and the label as y. The predictor variable x for the input sample is a vector containing the traffic flow, the number of lanes per edge, and the signal control strategy for each intersection. Traffic flow matrix S, lane number matrix A and control strategy vector contains the elements s respectively pq 、a pq and n p ; Record each intersection as a node, s pq Indicates the traffic flow of the section from node p to node q; a pq Indicates the number of lanes from node p to node q, and the value range is 1-3; n p Indicates the signal control st...

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 provides a road congestion reason identification method, which mainly solves the problem that the existing method ignores the causal relationship of traffic elements and is not suitable for a large-range road network. According to the implementation scheme, on the basis of a gradient enhanced decision tree GBDT method, corresponding explanatory variables are obtained according to multiple traffic factors including the number of lanes, traffic flow and a signal control strategy which are easy to obtain, the variables are used for modeling the performance of a road network, training testing and parameter optimization are carried out on a model, and the average vehicle speed in the road network is predicted by using the optimized model, and the factors influencing the performance of the road network are sorted based on the model, thereby identifying the root cause of the traffic congestion. According to the method, contribution of various factors in a road network to road congestion is observed by using a gradient enhancement decision tree method, the factors causing the congestion are found, the reasons causing the traffic congestion are effectively identified, and the result is accurate and reliable.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, relates to identification of road congestion causes, and specifically relates to a method for identification of road congestion causes, which can be used to identify the root causes of road congestion and provide solutions to provide guidance for alleviating traffic congestion. Background technique [0002] Traffic carries the vitality of a city and is an important symbol of its civilization. Today's social economy is developing rapidly, and urbanization continues to advance, so the demand for transportation is also increasing rapidly, and transportation has become a bottleneck restricting social development. Among traffic problems, the impact of congestion is the most serious. Congestion directly increases the time cost of social operations, aggravates energy waste, causes air pollution, and leads to invisible economic losses. Therefore, solving the problem of traffic conges...

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): G08G1/01G06N20/00
CPCG08G1/0125G08G1/0129G08G1/0137G06N20/00
Inventor 李长乐岳文伟薛楠陈越计星怡沙子凡
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com