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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(3): 187-190 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.954

Towards Realism in an Intelligent Car's Driving Behavior Using Fuzz Inference System

Nima Fouladinejad, Nariman Fouladinejad, J. Mohd Taib, and M. K. Abd Jalil
Abstract—This paper will discuss the algorithm to be implemented in the simulation of traffic flow system with the presence of the intelligent vehicles inside a microscopic traffic flow. This is possible with the introduction of the Behavior Sector to set various driving behavior of the virtual intelligent vehicles. The Behavior Sector consists of five different units, which are Route and Destination, Vision, Personality, Decision Making, and Motion Control. Fuzzy Logic is adopted to control the Behavior Sector. The traffic flow system is developed using Matlab software using Fuzzy Logic toolbox. One case study based on Taman Universiti area in Skudai, Johor is used to show the results of the Behavior Sector in the simulation of the traffic flow system.

Index Terms—Microscopic traffic flow model, intelligent vehicle, fuzzy inference system (FIS), realistic decision module.

Nima Fouladinejad, Nariman Fouladinejad, J. Mohd Taib, and M. K. Abd Jalil are with Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Malaysia (e-mail: nima.fouladinejad@gmail.com, nariman.fouladinejad@gmail.com).

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Cite:Nima Fouladinejad, Nariman Fouladinejad, J. Mohd Taib, and M. K. Abd Jalil, "Towards Realism in an Intelligent Car's Driving Behavior Using Fuzz Inference System," International Journal of Computer Theory and Engineering vol. 7, no. 3, pp. 187-190, 2015.

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