Driver's Behavior Modeling Using Fuzzy Logic

In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, ex...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mathematical problems in engineering 2010, Vol.2010 (2010), p.1-29
Hauptverfasser: Ghaemi, Sehraneh, Tinati, Mohammadali, Khanmohammadi, Sohrab
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 29
container_issue 2010
container_start_page 1
container_title Mathematical problems in engineering
container_volume 2010
creator Ghaemi, Sehraneh
Tinati, Mohammadali
Khanmohammadi, Sohrab
description In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.
format Article
fullrecord <record><control><sourceid>emarefa</sourceid><recordid>TN_cdi_emarefa_primary_451692</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>451692</sourcerecordid><originalsourceid>FETCH-emarefa_primary_4516923</originalsourceid><addsrcrecordid>eNpjYuA0NDUz1jU1NDFnAbINjEx0DY2MIzgYuIqLswwMjAxNDS04GXRcijLLUovUixWcUjMSyzLzixR881NSczLz0hVCi0GkW2lVVaWCT356ZjIPA2taYk5xKi-U5maQdXMNcfbQTc1NLEpNS4wvKMoEsirjTUwNzSyNjAnJAwDRqy6a</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Driver's Behavior Modeling Using Fuzzy Logic</title><source>Wiley-Blackwell Open Access Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Ghaemi, Sehraneh ; Tinati, Mohammadali ; Khanmohammadi, Sohrab</creator><creatorcontrib>Ghaemi, Sehraneh ; Tinati, Mohammadali ; Khanmohammadi, Sohrab</creatorcontrib><description>In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><ispartof>Mathematical problems in engineering, 2010, Vol.2010 (2010), p.1-29</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Ghaemi, Sehraneh</creatorcontrib><creatorcontrib>Tinati, Mohammadali</creatorcontrib><creatorcontrib>Khanmohammadi, Sohrab</creatorcontrib><title>Driver's Behavior Modeling Using Fuzzy Logic</title><title>Mathematical problems in engineering</title><description>In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.</description><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNpjYuA0NDUz1jU1NDFnAbINjEx0DY2MIzgYuIqLswwMjAxNDS04GXRcijLLUovUixWcUjMSyzLzixR881NSczLz0hVCi0GkW2lVVaWCT356ZjIPA2taYk5xKi-U5maQdXMNcfbQTc1NLEpNS4wvKMoEsirjTUwNzSyNjAnJAwDRqy6a</recordid><startdate>2010</startdate><enddate>2010</enddate><creator>Ghaemi, Sehraneh</creator><creator>Tinati, Mohammadali</creator><creator>Khanmohammadi, Sohrab</creator><general>Hindawi Puplishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope></search><sort><creationdate>2010</creationdate><title>Driver's Behavior Modeling Using Fuzzy Logic</title><author>Ghaemi, Sehraneh ; Tinati, Mohammadali ; Khanmohammadi, Sohrab</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-emarefa_primary_4516923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghaemi, Sehraneh</creatorcontrib><creatorcontrib>Tinati, Mohammadali</creatorcontrib><creatorcontrib>Khanmohammadi, Sohrab</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghaemi, Sehraneh</au><au>Tinati, Mohammadali</au><au>Khanmohammadi, Sohrab</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Driver's Behavior Modeling Using Fuzzy Logic</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2010</date><risdate>2010</risdate><volume>2010</volume><issue>2010</issue><spage>1</spage><epage>29</epage><pages>1-29</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><tpages>29</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1024-123X
ispartof Mathematical problems in engineering, 2010, Vol.2010 (2010), p.1-29
issn 1024-123X
1563-5147
language eng
recordid cdi_emarefa_primary_451692
source Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
title Driver's Behavior Modeling Using Fuzzy Logic
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T12%3A03%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-emarefa&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Driver's%20Behavior%20Modeling%20Using%20Fuzzy%20Logic&rft.jtitle=Mathematical%20problems%20in%20engineering&rft.au=Ghaemi,%20Sehraneh&rft.date=2010&rft.volume=2010&rft.issue=2010&rft.spage=1&rft.epage=29&rft.pages=1-29&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/&rft_dat=%3Cemarefa%3E451692%3C/emarefa%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true