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

Traffic Accident Modeling and Control Method Based on Sparse Multiple Output Regression

A traffic accident and modeling method technology, which is applied in the direction of road vehicle traffic control system, traffic control system, special data processing application, etc., can solve the problem of hiding the real characteristics of traffic accidents, etc.

Inactive Publication Date: 2016-05-25
JIANGSU UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although some studies have analyzed the impact of road factors on traffic accidents from a microscopic point of view, they have neglected many factors that affect traffic accidents, and some of them exist as noise factors. Accident modeling, which may hide the true characteristics and internal laws of traffic accidents

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
  • Traffic Accident Modeling and Control Method Based on Sparse Multiple Output Regression
  • Traffic Accident Modeling and Control Method Based on Sparse Multiple Output Regression
  • Traffic Accident Modeling and Control Method Based on Sparse Multiple Output Regression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In today's society, road traffic safety is widely concerned by people, and the research on road safety evaluation has a great effect on the reduction of traffic accidents. From a microscopic point of view, the present invention uses a sparse multi-output regression-based modeling method to analyze and study the relationship between a certain region and other variables and traffic accidents.

[0026] Introduce the workflow of the present invention in detail below:

[0027] 1. Selection of data

[0028] Road traffic is a dynamic system composed of people, vehicles, roads, environment and other elements. A traffic accident is an accidental event in the road traffic system due to the coordination of various elements such as people, vehicles, roads, and the environment. Therefore, when selecting the influencing factors of traffic accidents, it is necessary to analyze from the above aspects.

[0029] 1. Human factor: According to the statistical results of traffic accident...

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 traffic accident modeling and control method based on sparse multi-output regression, and can be used to carry out modeling on conditions of traffic accidents of a certain selected region. A multi-output regression accident model is established for a certain region. Characteristic parameters irrelevant to the accidents can be automatically detected and the influence of each parameter is distinguished. The characteristic parameters relevant to the traffic are brought into the model, and conditions of traffic accidents occurring in the future in the region can be predicted. According to the invention, historical and current situation data are utilized to carry out modeling on the severe degree of the traffic accidents; the characteristic parameters irrelevant to the accidents can be automatically removed and key factors which influence road traffic safety can be discriminated, so that the adoption of more targeted measures in road programming is facilitated. The traffic accident modeling and control method has practical engineering application values in traffic accident prediction, accident reason analysis and road construction improvement guidance.

Description

technical field [0001] The invention belongs to the technical field of traffic intelligent management and control, uses the proposed sparse multi-output regression model to establish a method for road traffic accidents, and can automatically detect key factors affecting road traffic safety. Road construction improvement has practical engineering application value. Background technique [0002] With the rapid development of road traffic in our country, the sharp increase of traffic accidents has become one of the serious social problems that have attracted much attention today. Because of the serious consequences caused by traffic accidents, my country has poured a lot of manpower, material and financial resources into accident prevention and countermeasures, and formulated relatively complete road traffic management laws, regulations and related policies. However, the damage consequences caused by road traffic accidents in my country However, it is still serious and has been...

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): G08G1/00G06F19/00
Inventor 陈小波梁军江浩斌陈龙张飞云肖艳
Owner JIANGSU 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