Fuzzy model for decision making support

Author

Max, Thijs ; Wieringa, P.A.

Author_Institution

Dept. of Human Machine Syst., Delft Univ. of Technol., Netherlands

Volume

3

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

2611

Abstract

Interaction between road users during road crossing involves decision-making and prediction of future states of the scene. To predict cooperation and competition of the temporary limited road space a dynamic driver decision model is needed. The paper discusses existing decision models and the first steps towards the definition and implementation of a new model. The model is based on a cognitive architecture containing fuzzy rules. A cognitive model represents the learning and adaptation of the driver to generic and specific characteristics of a road crossing. These road crossing characteristics include the presence of so-called (traffic and safety) barriers: traffic rules and symbols that need to be obeyed.

Keywords

cognition; decision making; fuzzy logic; road safety; road traffic; road vehicles; cognitive model; decision making support; dynamic driver decision model; fuzzy rules model; road crossing; road traffic; road user; Computational modeling; Decision making; Humans; Layout; Predictive models; Road safety; Space technology; Statistics; Traffic control; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2004 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-8566-7

Type

conf

DOI

10.1109/ICSMC.2004.1400724

Filename

1400724