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Towards realism in an intelligent car's driving behavior using fuzz inference system

Fouladinejad, Nariman and Abdul Jalil, Mohamad Kasim and Mohd. Taib, Jamaludin and Nejad, Nima Fouladi (2015) Towards realism in an intelligent car's driving behavior using fuzz inference system. International Journal of Computer Theory and Engineering, 7 (3). pp. 187-190. ISSN 1793-8201

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Official URL: http://dx.doi.org/10.7763/IJCTE.2015.V7.954

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.

Item Type:Article
Uncontrolled Keywords:Microscopic traffic flow model, intelligent vehicle
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:60500
Deposited By: Haliza Zainal
Deposited On:24 Jan 2017 02:54
Last Modified:16 Dec 2021 09:42

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