{"id":"https://openalex.org/W4401809398","doi":"https://doi.org/10.1109/mits.2024.3424787","title":"Modeling Human-Like Driving Behavior at a Signal Intersection Based on Driver Risk Field Model","display_name":"Modeling Human-Like Driving Behavior at a Signal Intersection Based on Driver Risk Field Model","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401809398","doi":"https://doi.org/10.1109/mits.2024.3424787"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2024.3424787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2024.3424787","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-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/A5102544979","display_name":"Weichao Hu","orcid":"https://orcid.org/0000-0001-5622-7763"},"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":"Weichao Hu","raw_affiliation_strings":["School of Metropolitan Transportation, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702787","display_name":"Yanyan Chen","orcid":"https://orcid.org/0000-0002-7068-4669"},"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":"Yanyan Chen","raw_affiliation_strings":["College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","School of Metropolitan Transportation, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Metropolitan Transportation, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021520169","display_name":"Wenxiang Xu","orcid":"https://orcid.org/0000-0002-3060-3238"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiang Xu","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, Hangzhou, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042345951","display_name":"Hongzhang Mu","orcid":"https://orcid.org/0000-0003-0378-4587"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhang Mu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102544979"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.3984,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59043252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"17","issue":"2","first_page":"95","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9002000093460083,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7193684577941895},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5360344648361206},{"id":"https://openalex.org/keywords/driving-simulation","display_name":"Driving simulation","score":0.5159714818000793},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5104473829269409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4660443067550659},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3046466112136841},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2666589319705963},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.24376636743545532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0808258056640625}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7193684577941895},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5360344648361206},{"id":"https://openalex.org/C2986187985","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulation","level":2,"score":0.5159714818000793},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5104473829269409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4660443067550659},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3046466112136841},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2666589319705963},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.24376636743545532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0808258056640625},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2024.3424787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2024.3424787","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1616896499","display_name":null,"funder_award_id":"2020YFB1600304","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1980250221","https://openalex.org/W1988582424","https://openalex.org/W2066700020","https://openalex.org/W2069536496","https://openalex.org/W2095953405","https://openalex.org/W2137514195","https://openalex.org/W2143318894","https://openalex.org/W2788178650","https://openalex.org/W2913433435","https://openalex.org/W3000316997","https://openalex.org/W3007128802","https://openalex.org/W3015036504","https://openalex.org/W3017326992","https://openalex.org/W3044767641","https://openalex.org/W3090622150","https://openalex.org/W3095494030","https://openalex.org/W3104639963","https://openalex.org/W3111855148","https://openalex.org/W3119924655","https://openalex.org/W3208016204","https://openalex.org/W4226118550","https://openalex.org/W4226179811","https://openalex.org/W4296425724","https://openalex.org/W4312238169","https://openalex.org/W4388919353","https://openalex.org/W4392901741","https://openalex.org/W4393305357"],"related_works":["https://openalex.org/W621323283","https://openalex.org/W3167635153","https://openalex.org/W2724837743","https://openalex.org/W2055786546","https://openalex.org/W206486660","https://openalex.org/W2800573625","https://openalex.org/W2726228392","https://openalex.org/W2145001921","https://openalex.org/W2392262903","https://openalex.org/W2069346637"],"abstract_inverted_index":{"Autonomous":[0],"intersection":[1,32,50,87,143],"management":[2],"systems":[3],"aim":[4],"to":[5,31,88],"efficiently":[6],"control":[7],"connected":[8],"and":[9,65,92],"autonomous":[10],"vehicles":[11],"at":[12,84],"urban":[13],"intersections.":[14],"However,":[15],"current":[16],"driving":[17,39,79,100,137],"behavior":[18,40,101,138],"models":[19],"face":[20],"challenges":[21],"in":[22,140],"accurately":[23],"capturing":[24],"the":[25,44,55,59,66,73,90,93,107,121,126,130,136,141],"distinctive":[26],"human":[27],"driver":[28,131],"characteristics":[29],"specific":[30],"interactions.":[33],"This":[34],"article":[35],"introduces":[36],"a":[37,85,98,111,117],"human-like":[38,99],"model":[41,109,132],"based":[42],"on":[43],"driver\u2019s":[45,56],"risk":[46],"field":[47],"(DRF)":[48],"for":[49],"scenarios.":[51],"The":[52,103],"DRF":[53],"represents":[54],"belief":[57],"regarding":[58],"likelihood":[60],"of":[61,75,114,120],"an":[62],"event":[63],"occurring,":[64],"associated":[67],"cost":[68],"function":[69],"is":[70],"determined":[71],"by":[72,129],"consequences":[74],"said":[76],"event.":[77],"A":[78],"simulation":[80],"experiment":[81],"was":[82],"conducted":[83],"signalized":[86,142],"evaluate":[89],"model,":[91],"results":[94,104],"were":[95],"compared":[96],"with":[97,135],"model.":[102],"show":[105],"that":[106,125],"proposed":[108],"has":[110],"high":[112],"degree":[113],"fit.":[115],"Furthermore,":[116],"statistical":[118],"analysis":[119],"data":[122],"distribution":[123],"demonstrates":[124],"predictions":[127],"generated":[128],"align":[133],"closely":[134],"observed":[139],"experiment.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}