{"id":"https://openalex.org/W2124361265","doi":"https://doi.org/10.1109/itsc.2009.5309683","title":"Dynamic traffic assignment model considering drivers' unfamiliarity with network layout","display_name":"Dynamic traffic assignment model considering drivers' unfamiliarity with network layout","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2124361265","doi":"https://doi.org/10.1109/itsc.2009.5309683","mag":"2124361265"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309683","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/A5082932847","display_name":"Fengxiang Qiao","orcid":"https://orcid.org/0000-0001-9074-0288"},"institutions":[{"id":"https://openalex.org/I48205209","display_name":"Texas Southern University","ror":"https://ror.org/05ch0aw77","country_code":"US","type":"education","lineage":["https://openalex.org/I48205209"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fengxiang Qiao","raw_affiliation_strings":["Department of Transportation Studies, Texas Southern University, Houston, TX, USA","Department of Transportation Studies , Texas Southern University , Houston , TX , USA"],"affiliations":[{"raw_affiliation_string":"Department of Transportation Studies, Texas Southern University, Houston, TX, USA","institution_ids":["https://openalex.org/I48205209"]},{"raw_affiliation_string":"Department of Transportation Studies , Texas Southern University , Houston , TX , USA","institution_ids":["https://openalex.org/I48205209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846934","display_name":"Zeng Yan","orcid":"https://orcid.org/0000-0001-5949-498X"},"institutions":[{"id":"https://openalex.org/I48205209","display_name":"Texas Southern University","ror":"https://ror.org/05ch0aw77","country_code":"US","type":"education","lineage":["https://openalex.org/I48205209"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["Department of Transportation Studies, Texas Southern University, Houston, TX, USA","Department of Transportation Studies , Texas Southern University , Houston , TX , USA"],"affiliations":[{"raw_affiliation_string":"Department of Transportation Studies, Texas Southern University, Houston, TX, USA","institution_ids":["https://openalex.org/I48205209"]},{"raw_affiliation_string":"Department of Transportation Studies , Texas Southern University , Houston , TX , USA","institution_ids":["https://openalex.org/I48205209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102000961","display_name":"Lei Yu","orcid":"https://orcid.org/0000-0002-1942-5952"},"institutions":[{"id":"https://openalex.org/I48205209","display_name":"Texas Southern University","ror":"https://ror.org/05ch0aw77","country_code":"US","type":"education","lineage":["https://openalex.org/I48205209"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Yu","raw_affiliation_strings":["Department of Transportation Studies, Texas Southern University, Houston, TX, USA","Department of Transportation Studies , Texas Southern University , Houston , TX , USA"],"affiliations":[{"raw_affiliation_string":"Department of Transportation Studies, Texas Southern University, Houston, TX, USA","institution_ids":["https://openalex.org/I48205209"]},{"raw_affiliation_string":"Department of Transportation Studies , Texas Southern University , Houston , TX , USA","institution_ids":["https://openalex.org/I48205209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082932847"],"corresponding_institution_ids":["https://openalex.org/I48205209"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28530337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"153","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345663905143738},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5309167504310608},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5287817716598511},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4481092691421509},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4121992588043213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4065573215484619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2711943984031677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345663905143738},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5309167504310608},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5287817716598511},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4481092691421509},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4121992588043213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4065573215484619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2711943984031677},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309683","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":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W291791112","https://openalex.org/W1542473770","https://openalex.org/W1970990623","https://openalex.org/W1976737199","https://openalex.org/W1983366332","https://openalex.org/W2019429733","https://openalex.org/W2024399669","https://openalex.org/W2039938971","https://openalex.org/W2059902437","https://openalex.org/W2064288517","https://openalex.org/W2066696715","https://openalex.org/W2068610247","https://openalex.org/W2085708644","https://openalex.org/W2114485638","https://openalex.org/W2116398248","https://openalex.org/W2118995658","https://openalex.org/W2145612249","https://openalex.org/W2175706438","https://openalex.org/W2235269566","https://openalex.org/W3121996767"],"related_works":["https://openalex.org/W1185300216","https://openalex.org/W2954163146","https://openalex.org/W2899086345","https://openalex.org/W2896057011","https://openalex.org/W4238675884","https://openalex.org/W2589817099","https://openalex.org/W3033465211","https://openalex.org/W1971600963","https://openalex.org/W2412267837","https://openalex.org/W2383918176"],"abstract_inverted_index":{"Most":[0],"existing":[1],"dynamic":[2],"traffic":[3,150],"assignment":[4],"models":[5],"assume":[6],"that":[7,20,71,185,203],"drivers":[8,46,186],"have":[9,18],"sufficient":[10],"knowledge":[11],"on":[12,48,74,138],"roadway":[13],"networks.":[14],"However,":[15],"past":[16],"experiments":[17],"shown":[19],"drivers'":[21],"familiarity":[22],"with":[23,112,171,193],"the":[24,37,52,56,102,105,109,113,130,139,147,159,162,177,181,194,204,209],"network":[25,53,96,121,195],"layout":[26,196],"is":[27,42,65,72,87,97,125,135,168],"an":[28,143],"essential":[29],"component":[30],"in":[31,176],"route":[32,79,84],"selections.":[33],"In":[34,155],"this":[35],"paper,":[36],"concept":[38],"of":[39,51,55,78,104,161],"recognition":[40,81],"level":[41],"defined":[43],"to":[44,100,127,157,189],"categorize":[45],"based":[47,137],"their":[49],"unfamiliarity":[50],"and":[54,61,80,108,146,197],"alternative":[57,198],"routes":[58],"between":[59],"origins":[60],"destinations.":[62],"Each":[63],"catalog":[64],"assigned":[66],"a":[67,119,165],"specific":[68,91],"utility":[69,92],"function":[70],"dependent":[73],"travel":[75,115],"time,":[76],"length":[77],"parameters.":[82],"Drivers'":[83],"choice":[85],"behavior":[86],"determined":[88],"by":[89],"these":[90],"functions.":[93],"A":[94],"sample":[95],"first":[98],"employed":[99],"test":[101,129],"feasibility":[103],"proposed":[106,131,163,205],"model,":[107,164],"result":[110],"complies":[111],"specified":[114],"patterns.":[116],"After":[117],"that,":[118],"real":[120,210],"near":[122],"downtown":[123],"Houston":[124,153],"used":[126],"further":[128],"model.":[132],"An":[133],"experiment":[134,167,183],"conducted":[136],"information":[140],"collected":[141],"from":[142,152],"on-site":[144],"survey":[145],"on-line":[148],"realtime":[149],"map":[151],"TranStar.":[154],"order":[156],"validate":[158],"necessity":[160],"control":[166],"carried":[169],"out":[170],"all":[172],"parameters":[173],"being":[174],"set":[175],"same":[178],"way":[179],"as":[180],"designed":[182],"except":[184],"are":[187],"assumed":[188],"be":[190],"fully":[191],"familiar":[192],"routes.":[199],"Test":[200],"results":[201],"show":[202],"model":[206],"better":[207],"fit":[208],"case.":[211]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}