Driver's Behavior Modeling Using Fuzzy Logic

In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, ex...

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Bibliographic Details
Published in:Mathematical Problems in Engineering 2010-01, Vol.2010, p.451-479-026
Main Authors: Ghaemi, Sehraneh, Khanmohammadi, Sohrab, Tinati, Mohammadali
Format: Article
Language:English
Subjects:
Climate models
Control algorithms
Controllers
Decision making
Driving
Engineering
Environment models
Fuzzy control
Fuzzy logic
Mathematical models
Roads
Speed control
Steering
Studies
Traffic control
Variables
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Summary:In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.
ISSN:1024-123X
1563-5147
DOI:10.1155/2010/172878