Nariman Fouladinejad, M. K. A. Jalil, J. M. Taib, Nima Fouladi Nejad
{"title":"Towards Realism in an Intelligent Car's Driving Behavior Using Fuzz Inference System","authors":"Nariman Fouladinejad, M. K. A. Jalil, J. M. Taib, Nima Fouladi Nejad","doi":"10.7763/IJCTE.2015.V7.954","DOIUrl":null,"url":null,"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. ","PeriodicalId":306280,"journal":{"name":"International Journal of Computer Theory and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Theory and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7763/IJCTE.2015.V7.954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
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