{"id":"https://openalex.org/W2102104005","doi":"https://doi.org/10.1109/itsc.2009.5309644","title":"Emotion modeling of the driver based on fuzzy logic","display_name":"Emotion modeling of the driver based on fuzzy logic","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2102104005","doi":"https://doi.org/10.1109/itsc.2009.5309644","mag":"2102104005"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073915674","display_name":"Zhenlong Li","orcid":"https://orcid.org/0000-0002-8938-5466"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhenlong","raw_affiliation_strings":["School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360046","display_name":"Xiaoxia Wang","orcid":"https://orcid.org/0000-0003-2625-6816"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Xiaoxia","raw_affiliation_strings":["College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","College of Electronic information and control engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Electronic information and control engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073915674"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.3276,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60811876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6593562960624695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.646639347076416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4261249899864197}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6593562960624695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646639347076416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4261249899864197}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W601988572","https://openalex.org/W1490013998","https://openalex.org/W1898595911","https://openalex.org/W1977137834","https://openalex.org/W1993061038","https://openalex.org/W1999975684","https://openalex.org/W2101337361","https://openalex.org/W2120945046","https://openalex.org/W2158232862","https://openalex.org/W2360211049"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Different":[0],"waiting":[1,42,104],"time":[2,43,105],"at":[3,128],"the":[4,15,20,25,41,46,49,55,59,66,69,75,81,93,96,115,123,129,138],"intersection":[5,130],"and":[6,37,58,106,114],"different":[7,12,103,107,112],"road":[8,63,108],"alignments":[9],"can":[10,110],"evoke":[11,111],"emotions":[13,113],"of":[14,19,31,51,62,71,80,95,117],"driver.":[16],"Emotional":[17],"space":[18,29,57],"driver":[21,82],"is":[22,83,126],"established":[23],"in":[24,48,68,131],"paper.":[26],"The":[27,89,99],"emotional":[28,56,76],"consists":[30],"four":[32],"factors,":[33],"\"happy\",":[34],"\"angry\",":[35],"\"relief\",":[36],"\"nervous\".":[38],"Suppose":[39],"that":[40,102],"only":[44,64],"cause":[45,65],"change":[47,67],"direction":[50,70],"vertical":[52],"axis":[53,73],"on":[54,74,86],"horizontal":[60,72],"radius":[61,109],"space.":[77],"Emotion":[78],"model":[79],"proposed":[84,97],"based":[85],"fuzzy":[87],"logic.":[88],"simulation":[90],"example":[91],"proves":[92],"feasibility":[94],"model.":[98],"results":[100],"show":[101],"emotion":[116,140],"drivers":[118],"should":[119],"be":[120],"considered":[121],"when":[122],"signal":[124],"timing":[125],"calculated":[127],"order":[132],"to":[133,146],"avoid":[134],"traffic":[135],"accidents":[136],"because":[137],"strong":[139],"states,":[141],"e.g.":[142],"angry,":[143],"have":[144],"potential":[145],"endanger":[147],"driving":[148],"safety.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}