Traffic accident reduction vehicle regulation and control method based on traffic data and weather data

A technology for traffic accidents and traffic data, which is used in collision avoidance systems and other directions

Active Publication Date: 2013-07-10
SOUTHEAST UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although existing studies have shown that the data acquired by traffic flow detection equipment on urban expressways can be used for real-time detection of traffic accid...

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 reduction vehicle regulation and control method based on traffic data and weather data
  • Traffic accident reduction vehicle regulation and control method based on traffic data and weather data
  • Traffic accident reduction vehicle regulation and control method based on traffic data and weather data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0057] Utilize the real traffic flow and meteorological data on the I-880 road in California, U.S.A. to test the performance of the present invention in real-time prediction of traffic accidents. Collected data includes upstream traffic occupancy average x 1 , the average speed of the downstream vehicle x 2 , the average value of the absolute value of the speed difference between the upstream and downstream vehicles x 3 , Downstream vehicle speed standard deviation x 4 and weather conditions x 5 .

[0058] There are 877 data examples of traffic accident groups and 3508 data examples under normal conditions (that is, without traffic accidents). From the whole sample, 710 data examples of traffic accident group and 2840 data examples under the condition of no traffic accident were randomly selected as the training set to illustrate the process of calibrating the model. The remaining 167 traffic accident group data examples and 668 normal state data examples are used as a te...

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 reduction vehicle regulation and control method based on traffic data and weather data. The method comprises the following steps of 10) obtaining traffic information of an accident road section before an accident happens; 20) obtaining weather information of the accident road section before the accident happens; 30) collecting the traffic data and the weather data of the accident road section under normal states; 40) building a traffic flow data total sample; 50) building a traffic accident probability relation after standardization; 60) detecting traffic accident probability of the road section, and regulating and controlling vehicles; and 70) repeating the step 60), and conducting detection of the traffic accident probability of the road section at next set time T until detection is finished. The vehicle regulation and control method utilizes traffic flow detection equipment to obtain real-time traffic data, utilizes an environment weather station to obtain the weather data, detects traffic accident probability of an expressway in real time, conducts regulation and controlling on the vehicles and reduces the traffic accident.

Description

technical field [0001] The invention belongs to the field of intelligent management and control of vehicle traffic on urban expressways, and in particular relates to a vehicle control method for reducing traffic accidents based on traffic data and weather data. Background technique [0002] Severe weather conditions will have a significant adverse effect on urban expressway traffic safety. Severe weather will not only significantly affect the driver's reaction time, for example, in foggy days, due to poor vision, the driver needs a longer time to identify the distance of the vehicle in front; it will also reduce the friction between the wheels and the road surface, resulting in Drivers need a longer distance to slow down. Existing studies have shown that the number of traffic accidents per unit time in bad weather is several times or even dozens of times that in sunny days. [0003] In recent years, the urban expressway dynamic traffic control system has been developed rap...

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
IPC IPC(8): G08G1/16
Inventor 徐铖铖刘攀王炜李志斌
Owner SOUTHEAST UNIV
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