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Vehicle controlling method for reducing traffic accidents in foggy weather state

A traffic accident and vehicle control technology, applied in anti-collision systems, etc., can solve the problem of no real-time prediction model for traffic accidents

Active Publication Date: 2013-07-10
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no real-time prediction model for traffic accidents specifically for foggy days. This invention will propose a method for preventing highway accidents in foggy days based on variable speed limit and ramp control.

Method used

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  • Vehicle controlling method for reducing traffic accidents in foggy weather state
  • Vehicle controlling method for reducing traffic accidents in foggy weather state
  • Vehicle controlling method for reducing traffic accidents in foggy weather state

Examples

Experimental program
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Effect test

Embodiment

[0058] 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 terms of real-time prediction of traffic accidents under foggy conditions. The collected data includes upstream traffic flow average x 1 , the average value of upstream traffic share x 2 , the average speed of the upstream vehicle x 3 , standard deviation of upstream traffic flow x 4 , Standard deviation of upstream traffic share x 5 , Standard deviation of upstream vehicle speed x 6 , the average value of downstream traffic flow x 7 , Average value of downstream traffic occupancy rate x 8 , the average speed of the downstream vehicle x 9 , standard deviation of downstream traffic flow x 10 , Standard deviation of downstream traffic share x 11 , Downstream vehicle speed standard deviation x 12 , the average value of the absolute value of the upstream and downstream traffic flow difference x 13 , the average value of ...

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Abstract

The invention discloses a vehicle controlling method for reducing traffic accidents in a foggy weather state. The method comprises the following steps: (10) basic information of an accident road section is acquired; (20) accident-group traffic data and accident-group weather data are collected in the foggy weather state; (30) normal-group traffic data and normal-group weather data are collected in the foggy weather state; (40) a total traffic flow data sample in the foggy weather state is set up; (50) a traffic accident discrimination function in a primary foggy weather state is set up; (60) a traffic accident discrimination function in a standardized foggy weather state is confirmed; (70) discrimination function values of the situation that traffic accidents happen in the foggy weather state is detected and vehicles are controlled; and (80) the step (70) is repeated, traffic accident discrimination function values of a next given time are detected until detection is finished. The vehicle controlling method detects the discrimination function values of the situation that traffic accidents happen in the foggy weather state in a motorway in real time, controls the vehicles, and reduces traffic accidents.

Description

technical field [0001] The invention belongs to the field of expressway traffic intelligent management and control, and in particular relates to a vehicle control method for reducing traffic accidents in a foggy state. Background technique [0002] Fog has a serious impact on the traffic safety of expressways, and the severity of traffic accidents in foggy days is often relatively high, involving casualties. Due to the relatively low visibility in foggy days, when encountering dangerous situations, drivers often do not have enough time to react to take risk-avoiding behaviors, resulting in traffic accidents. According to the "Annual Report on Traffic Accident Statistics of the Ministry of Public Security of the People's Republic of China", 2,626 and 1,527 traffic accidents occurred in rainy weather in 2006 and 2010 respectively, with 1,047 and 803 deaths and 3,325 and 2,006 injuries, respectively. The direct economic losses were 31.3 million yuan and 23.3 million yuan respe...

Claims

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Application Information

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