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문일기(II-Ki Moon),권영관(YoungKwan Kwon),이경수(Kyongsu Yi) 한국자동차공학회 2003 한국자동차공학회 Symposium Vol.2003 No.8
Recently. Adaptive Cruise Control(ACC) system has been commercialized by major automobile companies. Because there are the subtle differences between the driving style of ACC system and that of human driver. the importance of human driver's driving characteristics have been increasingly recognized. In this papers. the driver's driving behavior characteristics and a driver-adaptive control algorithm have been investigated. By the use of CAN(Controller Area Network). several vehicle states were obtained. Experimental vehicle was also equipped with brake pedal force sensor and three accelerometers. A step toward understanding human driving patterns would be to study the relation among time-gap. Time-to-collision. clearance. relative-speed. etc. We compare the simulation results of the driver-adaptive control algorithm based on human driving data with those of nominal ACC algorithm. It has been shown that the vehicle following behavior of the controlled vehicle with the adaptive control algorithm is quite close to that of the human controlled vehicles. Therefore. it can be expected that the more natural and more comfortable vehicle behavior would be achieved by the use of the driver adaptive cruise control algorithm.<br/>
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