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JACIII Vol.17 No.6 pp. 851-861
doi: 10.20965/jaciii.2013.p0851
(2013)

Paper:

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Modeling and Simulation of Road Traffic Behavior: Artificial Drivers with Personality and Emotions

George Leu*, Neville J. Curtis**, and Hussein Abbass*

*Department of Computer Science, School of Engineering and Information Technology, University of New South Wales Canberra, the Australian Defence Force Academy, Po BOX 7916, Canberra BC 2610, Australia

**Defence Science and Technology Organisation, Edinburgh, SA, Australia

Received:
May 23, 2013
Accepted:
September 26, 2013
Published:
November 20, 2013
Creative Commons License
Keywords:
behavior-enabled traffic model, multi-agent traffic environment, personality, emotions, optimal behavioral mix
Abstract
This study uses an artificially generated, multi-agent traffic environment to bring to attention the behavioral aspects involved in the performance of road traffic networks. Artificial drivers with behavioral capabilities are used to understand how collective human behavior affects traffic performance. These drivers are also used to find optimal behaviors in relation to performance metrics such as network transit time. This paper demonstrates that differences in the distribution of personality features of drivers can generate significant alterations in overall system performance. This can yield to significantly different estimations of the risk levels when compared to results coming from non-behavioral evaluation tools.
Cite this article as:
G. Leu, N. Curtis, and H. Abbass, “Modeling and Simulation of Road Traffic Behavior: Artificial Drivers with Personality and Emotions,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.6, pp. 851-861, 2013.
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