The pubblication presents the results of a work oriented to show the feasibility of a learning-machine approach able to overcame the scarce human-likeness of current Adaptive Cruise Control (ACC) systems. A methodology is proposed which allow for integrating safety-consideration with driving-behaviour aspects in the speed-control stategy of ACCs. The obtained results show that the proposed approach is fully feasible.
Feasibility of a learning-machine speed control approach for ACC applications
SIMONELLI, FULVIO;
2008-01-01
Abstract
The pubblication presents the results of a work oriented to show the feasibility of a learning-machine approach able to overcame the scarce human-likeness of current Adaptive Cruise Control (ACC) systems. A methodology is proposed which allow for integrating safety-consideration with driving-behaviour aspects in the speed-control stategy of ACCs. The obtained results show that the proposed approach is fully feasible.File in questo prodotto:
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