{"title":"A fuzzy behavior based microscopic traffic model","authors":"M. Tavallaei, S. Khanmohammadi, I. Hasanzadeh","doi":"10.1109/ISMA.2008.4648850","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of a human behavior based Microscopic Traffic Model. In this work, a fuzzified two point model is implemented for modeling the low level control behavior and a Fuzzy Multi Criteria Decision Making is implemented for modeling the high level control actions of the driver. As a result, different influential parameters such as the driver's age, mood, sex, etc. may be easily implemented in to the model and therefore guarantee a more natural outcome. This model can be used in automatically guided vehicles as a reference for natural driver behavior of individuals. The simulation results illustrate and verify the validity of the model.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"3 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 5th International Symposium on Mechatronics and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMA.2008.4648850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper deals with the problem of a human behavior based Microscopic Traffic Model. In this work, a fuzzified two point model is implemented for modeling the low level control behavior and a Fuzzy Multi Criteria Decision Making is implemented for modeling the high level control actions of the driver. As a result, different influential parameters such as the driver's age, mood, sex, etc. may be easily implemented in to the model and therefore guarantee a more natural outcome. This model can be used in automatically guided vehicles as a reference for natural driver behavior of individuals. The simulation results illustrate and verify the validity of the model.