论文信息 - Development of a Car-Following Tendency Prediction Method and Its Application to a Forward Collision Warning System

Development of a Car-Following Tendency Prediction Method and Its Application to a Forward Collision Warning System

It is important to understand the driver’s car-following tendency to enhance the effectiveness as well as the acceptance of advanced driving support systems. If a system can estimate the driver’s usual car-following tendency, it can provide avoidance support matched to his/her sense of normal safety driving when the vehicle is approaching a preceding one. Since the car-following tendency varies not only between drivers but also within a driver by the feeling and/or the driving environment, real-time estimation is essential.This study introduces a method that can easily predict the car-following tendency. The method uses such parameters as the throttle-pedal released timing and the braking timing that were found to be correlated from the naturalistic driving data analysis. It was found that the method can predict the car-following tendency within a short distance. The authors applied the method to a forward collision warning system and confirmed the potential benefit of the system.

Hirofumi Aoki | Osamu Ozaki

[1] John Richardson,et al. The effect of alarm timing on driver behaviour: an investigation of differences in driver trust and response to alarms according to alarm timing , 2004 .

[2] Hirofumi Aoki,et al. Perceptual Risk Estimate (PRE): An Index of the Longitudinal Risk Estimate , 2011 .

[3] A. Hamish Jamson,et al. Potential benefits of an adaptive forward collision warning system , 2008 .

[4] Daniel V. McGehee,et al. Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.

[5] Mohan M. Trivedi,et al. Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles , 2007, Proceedings of the IEEE.

[6] Kazuyoshi Isaji,et al. A Method to Adapt "Judgment Line of Brake Initiation" to Individual Drivers , 2009 .

[7] Takahiro Wada,et al. Characterization of Expert Drivers' Last-Second Braking and Its Application to a Collision Avoidance System , 2010, IEEE Transactions on Intelligent Transportation Systems.