抄録
ITS (intelligent transport system) has been expected to support drivers operation or operate vehicle instead of drivers and provide comfortable vehicle travel and reduction of traffic accidents. ACC (adaptive cruise control) has also been focused as safety and comfortable system, especially in a heavy duty vehicle. However it is difficult for PID throttle controller to recognize unspecified disturbances, for example uphill/downhill road environment, variation of engine performance and vehicle weight depending on load, and achieve robustness. In this paper a new adaptive cruise control of self-tuning algorithm using neural network emulator and fuzzy logic is introduced. Simulation and experimental results show the effectivity of this system for great robust performance of speed control.
