Real-time evaluation method for road traffic accident chain risks

A technology of road traffic and accident chains, which is applied in the direction of instruments, data processing applications, predictions, etc., and can solve problems such as serial collisions

Inactive Publication Date: 2016-12-07
JIANGSU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

2. In July 2009, due to heavy rain, more than 250 vehicles collided on the highway in Brunswick, causing more than 60 injuries

Method used

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  • Real-time evaluation method for road traffic accident chain risks
  • Real-time evaluation method for road traffic accident chain risks
  • Real-time evaluation method for road traffic accident chain risks

Examples

Experimental program
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specific Embodiment

[0038] Take 4 cars on the single lane as an example to further illustrate. The high-definition cameras located on the lower side of the left and right headlights of the four vehicles are mainly used to obtain the influence coefficient ξ of the road surface of each vehicle in real time 1 , ξ 2 , ξ 3 and ξ 4 ; The speed sensor located on the output shaft of the transmission is mainly used to obtain the speed v of the respective vehicle 1 , v 2 , v 3 and v 4 ; The acceleration sensor located in the ESP body stabilization system is mainly used to obtain the maximum deceleration a of the own vehicle 1 、a 2 、a 3 and a 4 ;By matching with the road map

[0039] Equipped to obtain the real-time heading angle θ of the vehicle 1 , θ 2 , θ 3 and θ 4 ; Calculate the distance d between the two vehicles in real time through GPS / Beidou navigation 1,2 、d 2,3 and d 3,4 .

[0040] A method for real-time assessment of road traffic accident chain risk is characterized in that the...

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Abstract

The invention discloses a real-time evaluation method of road traffic accident chain risks. High-definition cameras located on the lower sides of left and right headlamps, a speed sensor located on a transmission output shaft, an acceleration sensor located on an ESP car body stabilizing system, a road map matching system and a GPS / Beidou navigation system obtain an adhesive force f of a vehicle driving road surface, the vehicle speed v, the vehicle acceleration a, the real-time course angle theta and the leading vehicle distance d so as to determine the single vehicle accident probability and two vehicle accident probability, and a road traffic accident chain occurrence probability is obtained. Meanwhile, on the basis of the mean field theory, a potential energy field where regional vehicles interact is built, and the seriousness degree is graded. A risk model containing the accident chain occurrence probability and the accident chain occurrence seriousness degree can be built, and then the road accident risk is subjected to real-time measurement.

Description

technical field [0001] The invention belongs to the field of road traffic safety of intelligent traffic systems, and in particular relates to a device for real-time monitoring of road traffic accidents and an accident chain risk assessment method, which can be used to predict the risk of chain traffic accidents. Background technique [0002] The increase in car ownership and the rapid development of the road transportation industry have brought increasing pressure on the safety environment of road traffic while prospering the economy and facilitating people's lives. According to data released by the Ministry of Public Security, the average annual traffic accidents in my country are 20 More than 10,000 cases, the death toll exceeds 60,000, ranking first in the world. Road traffic has become the "number one killer" that threatens people's safety, and it is the field with the largest number of deaths in China's production safety. In addition, among the top six countries with car...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26
CPCG06Q10/04G06Q10/0635G06Q50/265
Inventor 曹福贵江浩斌施凯津朱畏畏
Owner JIANGSU UNIV
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