{"id":"https://openalex.org/W2610216460","doi":"https://doi.org/10.1080/15472450.2017.1326116","title":"Subjective-utility travel time budget modeling in the stochastic traffic network assignment","display_name":"Subjective-utility travel time budget modeling in the stochastic traffic network assignment","publication_year":2017,"publication_date":"2017-05-05","ids":{"openalex":"https://openalex.org/W2610216460","doi":"https://doi.org/10.1080/15472450.2017.1326116","mag":"2610216460"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1326116","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1326116","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","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/A5032927883","display_name":"Xiangfeng Ji","orcid":"https://orcid.org/0000-0002-9794-3392"},"institutions":[{"id":"https://openalex.org/I4210111795","display_name":"Hisense (China)","ror":"https://ror.org/0276vcd78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Ji","raw_affiliation_strings":["Hisense Research & Development Center, Qingdao, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Hisense Research & Development Center, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210111795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087213835","display_name":"Xuegang Ban","orcid":"https://orcid.org/0000-0003-3605-971X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Xuegang (Jeff) Ban","raw_affiliation_strings":["College of Transport and Communications, Shanghai Maritime University, Shanghai, China","Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"College of Transport and Communications, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410024","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0002-9086-7622"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing, Jiangsu, China","School of Transportation, Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing, Jiangsu, China","institution_ids":[]},{"raw_affiliation_string":"School of Transportation, Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060394098","display_name":"Bin Ran","orcid":"https://orcid.org/0000-0002-5464-0930"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bin Ran","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Wisconsin, Madison, WI, USA","School of Transportation, Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Wisconsin, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"School of Transportation, Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087213835"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":1.9632,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87703975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":"6","first_page":"439","last_page":"451"},"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/equivalence","display_name":"Equivalence (formal languages)","score":0.725513219833374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528239250183105},{"id":"https://openalex.org/keywords/variational-inequality","display_name":"Variational inequality","score":0.5890218615531921},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.5351764559745789},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49519410729408264},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.480103999376297},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.41432759165763855},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.41062864661216736},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3840804696083069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2118430733680725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1742551624774933},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15663012862205505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07820156216621399}],"concepts":[{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.725513219833374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528239250183105},{"id":"https://openalex.org/C161999928","wikidata":"https://www.wikidata.org/wiki/Q4556320","display_name":"Variational inequality","level":2,"score":0.5890218615531921},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5351764559745789},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49519410729408264},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.480103999376297},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.41432759165763855},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.41062864661216736},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3840804696083069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2118430733680725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1742551624774933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15663012862205505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07820156216621399},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2017.1326116","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1326116","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W280512313","https://openalex.org/W1481509334","https://openalex.org/W1543690589","https://openalex.org/W1964160459","https://openalex.org/W1991032670","https://openalex.org/W2025293314","https://openalex.org/W2025565923","https://openalex.org/W2027320641","https://openalex.org/W2027395414","https://openalex.org/W2028594966","https://openalex.org/W2028953698","https://openalex.org/W2030331265","https://openalex.org/W2041946752","https://openalex.org/W2043388429","https://openalex.org/W2049018950","https://openalex.org/W2049741160","https://openalex.org/W2053984877","https://openalex.org/W2054124301","https://openalex.org/W2055461760","https://openalex.org/W2060354204","https://openalex.org/W2072069601","https://openalex.org/W2083203085","https://openalex.org/W2093014697","https://openalex.org/W2096545137","https://openalex.org/W2132347401","https://openalex.org/W2145673320","https://openalex.org/W2145728259","https://openalex.org/W2146853956","https://openalex.org/W2168677120","https://openalex.org/W2175406533","https://openalex.org/W2175706438","https://openalex.org/W2177295793","https://openalex.org/W2179936127","https://openalex.org/W2509180036","https://openalex.org/W2516321972","https://openalex.org/W2604550955","https://openalex.org/W2945497845","https://openalex.org/W3021656475","https://openalex.org/W4298358184"],"related_works":["https://openalex.org/W2909053289","https://openalex.org/W829267240","https://openalex.org/W1154119719","https://openalex.org/W3131922696","https://openalex.org/W2104243281","https://openalex.org/W2946037075","https://openalex.org/W2755725405","https://openalex.org/W2059694173","https://openalex.org/W1967850176","https://openalex.org/W2011180822"],"abstract_inverted_index":{"In":[0,21],"this":[1,150],"article,":[2],"we":[3,67,153],"propose":[4],"a":[5,33,159,181],"new":[6,144],"model":[7,14,113,137,157,165,188],"called":[8],"subjective-utility":[9],"travel":[10,23,29,51,134],"time":[11,24,30,52,135],"budget":[12,25],"(SU-TTB)":[13],"to":[15,39,47,60,73,108,164],"capture":[16,40],"travelers'":[17,69],"risk-averse":[18,167],"route":[19,44,50,83,133],"choices.":[20],"the":[22,41,48,54,64,82,92,96,103,109,119,147,155,166,187,195,200],"(TTB)":[26],"and":[27,95,111,141,186,189,199,202],"mean-excess":[28],"(METT)":[31],"model,":[32,66],"predefined":[34],"confidence":[35,56,70,120],"level":[36,57,71],"is":[37,58,178],"needed":[38],"risk-aversion":[42],"in":[43,81,138],"choice.":[45,84],"Due":[46],"day-to-day":[49],"variations,":[53],"exact":[55],"hard":[59],"be":[61,106],"predicted.":[62],"With":[63],"SU-TTB":[65,90,104,156],"assume":[68],"belongs":[72],"an":[74],"interval":[75],"that":[76,102],"they":[77],"may":[78],"comply":[79],"with":[80,114,128,149,194],"The":[85,176],"two":[86],"main":[87],"components":[88],"of":[89],"are":[91,192],"utility":[93,116],"function":[94,117],"TTB":[97,110],"model.":[98],"We":[99,122],"can":[100,105,123],"show":[101],"reduced":[107],"METT":[112],"proper":[115],"for":[118],"levels.":[121],"also":[124],"prove":[125],"its":[126],"equivalence":[127],"our":[129],"recently":[130],"proposed":[131],"nonlinear-expectation":[132],"(NERTT)":[136],"some":[139,143],"cases":[140],"give":[142],"interpretation":[145],"on":[146],"NERTT":[148],"equivalence.":[151],"Finally,":[152],"formulate":[154],"as":[158,172],"variational":[160],"inequality":[161],"(VI)":[162],"problem":[163],"user":[168],"equilibrium":[169],"(RAUE),":[170],"termed":[171],"generalized":[173],"RAUE":[174],"(GRAUE).":[175],"GRAUE":[177],"solved":[179],"via":[180],"heuristic":[182],"gradient":[183],"projection":[184],"algorithm,":[185],"solution":[190],"algorithm":[191],"demonstrated":[193],"Braess's":[196],"traffic":[197,204],"network":[198],"Nguyen":[201],"Dupuis's":[203],"network.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}