Warning method and system for vehicle tailgating

Abstract

The invention discloses a warning method for vehicle tailgating, and the method comprises the following steps of: based on a predetermined time interval, collecting vehicle moving data in a continuous time sequence through a vehicle-mounted collecting device, wherein the vehicle containing the vehicle-mounted collecting device is the current one; calculating a front-vehicle operating speed in the current sequence time; based on the current-vehicle speed information and the pavement friction coefficient information, calculating the shortest current-vehicle brake time; based on the shortest current-vehicle brake time and the front-vehicle operating speed, calculating the interval among the current vehicle, the front vehicle and the shortest current-vehicle brake time; calculating the minimum current-vehicle braking distance under a locking condition; based on the calculated minimum current-vehicle braking distance, and the interval among the current vehicle, the front vehicle and the shortest current-vehicle brake time, judging whether tailgating risks are occurred, if not, returning the mentioned step, and continuing collection and judgment; if so, controlling to give warning signals. The invention further discloses a warning system for vehicle tailgating.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic early warning, in particular to a vehicle rear-end collision early warning method and early warning system. Background technique [0002] Collisions are the main form of expressway traffic accidents. In 2013, the equivalent deaths caused by vehicle rear-end collision accidents accounted for 42% of the total. Therefore, it is an urgent need to design a high-speed vehicle rear-end collision avoidance warning system. [0003] Since 1970, the Japanese Smart Highway Program has begun research in the fields of vehicle lane change, intersection collision avoidance, pedestrian avoidance, and vehicle distance maintenance. Some German institutions have developed the Mear system using optical principles to detect the front of the car. Obstacles in the area other than the front to ensure the safety of the vehicle. General Motors of the United States has studied a collision warning system called ...

AI Technical Summary

Problems solved by technology

[0004] However, the farthest monitoring distance for vehicle dynamics is currently 60 meters, and the ranging error is greater than 1 meter.

The running speed of the vehicle on the expressway reaches more than 80Km / h, and the average braking distance reaches 83 meters. Therefore, the existing anti-collision technology still cannot solve the problem of preventing rear-end collisions of expressway vehicles, and many key technologies need to be further solved.

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