Automatic alarm method for preventing front crash of vehicles at turning

Abstract

The invention discloses an automatic alarm method for preventing front crash of vehicles at a turning, comprising the following steps of: collecting coordinate data via an onboard GPS (Global Position System) device and providing the coordinate data to a filter unit for filtering treatment; calculating a road discrete curvature value according to the filtered data by a curvature calculation unit; judging whether a vehicle runs at the turning or not according to the road discrete curvature value by a turning identification unit; calculating a safe following distance according to a vehicle speed of the current vehicle, a relative distance between the current vehicle and a front vehicle and relative vehicle speed information provided by an onboard CAN (Controller Area Network) bus by a safe following distance calculating module if the current vehicle runs at the turning; calculating a following time interval and a collision avoidance time by a THW and TTC calculation module; calculating a risk state prediction value through a risk state prediction function based on the above parameters by a risk state prediction module; comparing the risk state prediction value with a pre-determined vehicle front crash alarm threshold by an alarm module; and sending a warning prompt to prompt the driver to reduce the speed by the alarm module if the risk state prediction value is equal to or greater than the vehicle front crash alarm threshold. The automatic alarm method can be widely arranged on all kinds of vehicles so that the driving safety of the vehicle is effectively improved.

Description

technical field [0001] The invention relates to an automatic alarm method for vehicle collision avoidance, in particular to an automatic alarm method for preventing forward collision of curved vehicles. Background technique [0002] With the continuous growth of car ownership and driving numbers, road traffic accidents have attracted more and more attention from the society. According to the statistics of road traffic accidents in 2009, the traffic accidents that occurred when driving on curves accounted for more than 10% of the total number of accidents, and more than 90% of the accidents were caused by human factors such as driver fatigue, negligence, and misjudgment. [0003] As an important part of the driving assistance system, the vehicle's forward collision automatic warning system can send out an alarm message at the dangerous moment of the vehicle's forward collision, reminding the driver to take corresponding measures to avoid rear-end collisions, thereby effective...

AI Technical Summary

Problems solved by technology

The method based on the safety distance model design is relatively simple, but it often does not conform to the driver's operating habits; while the design method using artificial intelligence theory is difficult to establish an accurate driver model, and it is difficult to apply to the actual vehicle front collision automatic alarm in the system

More importantly, the existing alarm methods are mainly designed for straight-line driving conditions rather than curve driving conditions, and rarely consider the influence of the driver's driving behavior characteristics on the design when driving in curves, so the existing The alarm method has poor adaptability to curve driving conditions and drivers

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