DocumentCode :
2542086
Title :
Stochastic modeling and analysis of drivers’ decision making
Author :
Taguchi, Shun ; Sekizawa, Shogo ; Inagaki, Shinkichi ; Suzuki, Tatsuya ; Hayakawa, Soichiro ; Tsuchida, Nuio
Author_Institution :
Nagoya Univ., Nagoya
fYear :
2007
fDate :
7-10 Oct. 2007
Firstpage :
587
Lastpage :
592
Abstract :
This paper presents the development of a mathematical model of the human decision making. The main contributions of this paper are introduction of the logistic regression model as the mathematical model of the decision, development of the real time prediction of the decision based on the model, and proposal of some useful quantified measures to evaluate the characteristics of the human behavior. The proposed modeling and analysis strategies are applied to the driving behavior, in particular, focusing on the turn-right task in the intersections. Furthermore, two quantified measures "decision entropy" and "decision aggressiveness" are defined based on the estimated parameters in the logistic regression model. The objective evaluation made by these measures agrees well with the subjective evaluation made by the questionnaires.
Keywords :
behavioural sciences; decision making; regression analysis; road traffic; stochastic processes; transportation; decision aggressiveness; decision entropy; driver decision making; driving behavior; human behavior; human decision making; logistic regression model; mathematical model; stochastic analysis; stochastic modeling; turn-right task; Decision making; Entropy; Hidden Markov models; Humans; Logistics; Mathematical model; Parameter estimation; Predictive models; Road accidents; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
Type :
conf
DOI :
10.1109/ICSMC.2007.4413756
Filename :
4413756
Link To Document :
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