DocumentCode :
66817
Title :
Mathematical Modeling of Driver Speed Control With Individual Differences
Author :
Guozhen Zhao ; Changxu Wu
Author_Institution :
State Univ. of New York at Buffalo, Buffalo, NY, USA
Volume :
43
Issue :
5
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1091
Lastpage :
1104
Abstract :
The quantitative prediction and understanding of a driver´s speed control is an essential component in preventing speeding and designing of vehicle systems. Driver speed control is a complex behavior of longitudinal vehicle control consisting of speed perception, decision making, motor control, vehicle dynamics modeling, and individual driver differences. However, there are few existing models that can integrate all of these aspects in a cohesive manner. To address this problem, this paper introduces a mathematical model for a driver´s speed control with analytical solutions based on human cognitive mechanisms in driving. This model includes an integrated queuing network-model human processor structure and the rule-based decision field theory. This new model consequently can predict several aspects of driver speed control behavior at the same time, such as driving speed, throttle/brake pedal angle, acceleration, and the frequency of speedometer inspection. A laboratory session involving a driving simulator is conducted to validate the current model. The model accounted for over 99% of the experimental speed of the average driver, and over 95% of the experimental speed for the majority of individual drivers.
Keywords :
cognition; decision making; driver information systems; mathematical analysis; queueing theory; vehicle dynamics; velocity control; complex longitudinal vehicle control behavior; decision making; driver speed control behavior; driving simulator; human cognitive mechanisms; individual driver differences; integrated queuing network-model human processor structure; mathematical modeling; motor control; quantitative prediction; rule-based decision field theory; speed perception; speedometer inspection frequency; throttle-brake pedal angle; vehicle dynamics modeling; vehicle system design; Computational modeling; Decision making; Foot; Mathematical model; Servers; Vehicles; Velocity control; Individual difference; mathematical model; queuing network; rule-based decision field theory; speed control;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2216
Type :
jour
DOI :
10.1109/TSMC.2013.2256854
Filename :
6573359
Link To Document :
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