Title :
Real-time driver characterization during car following using stochastic evolving models
Author :
Filev, Dimitar ; Jianbo Lu ; Tseng, Fan-Shuo ; Prakah-Asante, K.
Author_Institution :
Powertrain Control Res. & Adv. Eng., Ford Motor Co., Dearborn, MI, USA
Abstract :
This paper studies characterizing the driving behavior during steady-state and transient car-following. An approach utilizing the online learning of an evolving Takagi-Sugeno fuzzy model that is combined with a probabilistic model is applied to capture the multi-model and evolving nature of the driving behavior. The approach is validated by testing on a vehicle during different driving conditions.
Keywords :
driver information systems; fuzzy set theory; learning (artificial intelligence); stochastic processes; evolving Takagi-Sugeno fuzzy model; online learning; probabilistic model; real time driver characterization; steady state car following; stochastic evolving models; transient car following; Data models; Real time systems; Roads; Steady-state; Stochastic processes; Vectors; Vehicles;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4577-0652-3
DOI :
10.1109/ICSMC.2011.6083810
