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Vehicle Stop and Go Cruise Control using a Vehicle Trajectory Prediction Method  

조상민 (한양대학교 자동차공학과)
이경수 (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.10, no.5, 2002 , pp. 206-213 More about this Journal
Abstract
This paper proposes a vehicle trajectory prediction method for application to vehicle-to-vehicle distance control. This method is based on 2-dimensional kinematics and a Kalman filter has been used to estimate acceleration of the object vehicle. The simulation results using the proposed control method show that the relative distance characteristics can be improved via the trajectory prediction method compared to the customary vehicle stop and go cruise control systems which makes the vehicle remain at a safe distance from a preceding vehicle according to the driver's preference, automatically slow down and come to a full stop behind a preceding vehicle.
Keywords
Trajectory prediction; Bicycle model; Prediction algorithm; Intelligent cruise control; Stop and go cruise control; Vehicle cruise control; Optimal design;
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Times Cited By KSCI : 1  (Citation Analysis)
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