Internet-of-vehicles-based high-way vehicle anti-collision early-warning integration variable construction method

Abstract

The invention proposes an internet-of-vehicles-based high-way vehicle anti-collision early-warning integration variable construction method, characterized by comprising the following steps: 1) constructing anti-collision early-warning integration variables; 2) determining the early-warning threshold value for the early-warning integration variables; 3) obtaining the characteristic data of the real-time vehicle movement and position; and 4) calculating the anti-collision early-warning integration variables and determining the anti-collision early-warning strategy. The method of the invention overcomes the defects in considerations of traditional early-warning variables to the vehicles deviating from lanes, the vehicle surrounding real-time changing movement vector characteristics and the vehicle relative position as well as the vehicle dimension characteristics, therefore, making the method meet the vehicle anti-collision early-warning requirement under the condition of different vehicle driving behavior characteristics.

Description

technical field [0001] The invention relates to the technical field of traffic safety evaluation and intelligent traffic system active safety, in particular to a method for constructing comprehensive variables of expressway vehicle anti-collision early warning based on Internet of Vehicles. Background technique [0002] The increase of car ownership and the rapid development of the road transport industry have brought increasing pressure on the road traffic safety environment while prospering the economy and facilitating people's lives. The average annual death toll in traffic accidents in my country ranks first in the world, and road traffic accidents have become the field with the largest number of deaths in China's production safety. According to a number of research reports, if the driver can realize the risk of accident 0.5s earlier and take corresponding correct measures, 50% of accidents can be avoided; if it is 1s earlier, 90% of accidents can be avoided. Therefore,...

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Problems solved by technology

However, these variables are mainly based on the criteria for the degree of danger established for rear-end collisions in the same lane, and insufficient consideration is given to the collision risk that may occur during the process of vehicle lane changing (conscious) or lane departure (unconscious), such as lane changing or lane departure The motion vector characteristics of real-time changes between the vehicle and the surrounding vehicles, the relative position of the vehicle and the size characteristics of the vehicle

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