Self-adaption alarming method for preventing tailgating with front car on expressway

Abstract

The invention discloses a self-adaption alarming method for preventing tailgating with a front car on an expressway. The method comprises the following steps of: adapting to driver characteristic and driving environment based on a safety time logic algorithm; and performing self-adaption adjustment on a safety time threshold value, namely an alarming threshold to effectively avoid false-alarm. According to the algorithm, an alarm inhibition strategy is set by determining the intension of a driver to reduce false-alarm rate according to the selection of an initial mode and vehicle driving relevant information acquired by a vehicle-mounted sensor so as to calculate collision time (TTC) of the own car and the front car; the current alarm safety threshold value (TW) is calculated in real time according to the driver characteristic and the current driving environment; and finally, whether the potential danger of tailgating with the front car exists is determined according to the calculated collision time (TTC) of the own car and the front car and the alarm safety threshold value (TW); and an alarm instruction is sent when the potential danger exists. By utilizing the method, the potential tailgating danger can be accurately found out in real time according to the driving age of the driver, the driving environment, the vehicle brake type and the like so as to alarm the driver; and therefore, the occurrence of the tailgating accidents of the own car and the front car on the expressway can be effectively prevented.

Description

Technical field [0001] The invention relates to a research on an adaptive alarm method for preventing a rear-end collision of an expressway vehicle, in particular to the establishment of an early-warning model of an expressway vehicle rear-end collision that can reflect the characteristics of the driver and driving environment based on a safe time logic algorithm , Its purpose is to detect potential rear-end collision danger in time when the car is running, and give the driver a warning, so as to avoid the self-car from rear-end collision with the preceding vehicle, which belongs to the field of traffic safety. Background technique [0002] Statistics on traffic accidents show that rear-end collisions of vehicles on expressways are the most important form of accidents. Daimler-Benz (Daimler-Benz) research shows that if the driver can get an early warning 0.5 seconds before the collision, 50% of collisions can be avoided; if the driver gets an early warning 1 second, 90% can be av...

AI Technical Summary

Problems solved by technology

First of all, the safety time logic algorithm is to determine the dangerous state by comparing the collision time of the two workshops with the safety time threshold value. Values, the safety time thresholds all adopt empirical values, that is, constants, which cannot reflect the differences in different driving environments and individual drivers. In some driving conditions that do not require alarms, false alarms are used, while in other driving conditions that require alarms. However, it does not call the police under certain conditions, resulting in a high rate of false alarms and false alarms

Secondly, the existing safety time logic algorithm cannot detect the driver's driving intention. Even if the driver has already noticed the collision risk and has taken actions such as braking or changing lanes, the alarm is still issued. To a certain extent, it has an impact on the normal operation of

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