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 / Bifulco, GENNARO NICOLA; Simonelli, Fulvio; DI PACE, Roberta. - STAMPA. - Joint Conference Euro Working Group on Transportation, XII Meeting - Infomobility and Logistics:(2008), pp. 360-361. (Intervento presentato al convegno XXXIX Annual Conference of the Italian Operational Research Society tenutosi a Ischia (NA) nel 7-11 september 2008).
Feasibility of a learning-machine speed control approach for ACC applications
BIFULCO, GENNARO NICOLA;SIMONELLI, FULVIO;DI PACE, ROBERTA
2008
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
