DocumentCode :
3241228
Title :
Impact of driving context on stochastic driver-behavior model: Quantitative analysis of car following task
Author :
Angkititrakul, Pongtep ; Miyajima, Chiyomi ; Takeda, Kazuya
Author_Institution :
Dept. of Media Sci., Nagoya Univ., Nagoya, Japan
fYear :
2012
fDate :
24-27 July 2012
Firstpage :
163
Lastpage :
168
Abstract :
Driving context plays an essential role in driving behavior and driving performance of a driver. The contextual information surrounding a driving activity involves several factors and dimensions that influence a driver´s behavior. However, a driver may or may not need to adopt a particular driving pattern for every distinct driving context conditions. In this paper, we statistically investigate the impact of various driving context conditions on the behavior prediction and context recognition performance of stochastic driver-behavior models. We employed a Dirichlet process mixture modeling framework to capture the underlying distributions of observed driving parameters under different driving context conditions. Experimental validation was conducted using the on-the-road car-following behavior of sixty-four drivers. The results showed that under two particular context conditions, drivers demonstrated distinct driving characteristics that could be efficiently recognized by stochastic driver-behavior models, and yet, some context-specific models could be exploited to predict driving behavior in other driving contexts.
Keywords :
stochastic processes; traffic engineering computing; Dirichlet process mixture modeling; behavior prediction; car following task; context recognition performance; contextual information; driving activity; driving behavior; driving context; driving performance; stochastic driver-behavior models; Cities and towns; Context; Context modeling; Data models; Predictive models; Road transportation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-0992-9
Type :
conf
DOI :
10.1109/ICVES.2012.6294301
Filename :
6294301
Link To Document :
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