{"id":"https://openalex.org/W341270243","doi":null,"title":"Choice Model Refinement from Network Data","display_name":"Choice Model Refinement from Network Data","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W341270243","mag":"341270243"},"language":"en","primary_location":{"id":"mag:341270243","doi":null,"is_oa":false,"landing_page_url":"http://www.diva-portal.org/smash/record.jsf?pid=diva2:588549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5072916330","display_name":"Gunnar Fl\u00f6tter\u00f6d","orcid":"https://orcid.org/0000-0003-2831-4725","observed_orcids":["https://orcid.org/0000-0003-2831-4725"]},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gunnar Fl\u00f6tter\u00f6d","raw_affiliation_strings":["Royal Inst. of Technology"],"raw_orcid":"https://orcid.org/0000-0003-2831-4725","affiliations":[{"raw_affiliation_string":"Royal Inst. of Technology","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065927014","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-7694-4441","observed_orcids":["https://orcid.org/0000-0002-7694-4441"]},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Technical University of Berlin,"],"raw_orcid":"https://orcid.org/0000-0002-7694-4441","affiliations":[{"raw_affiliation_string":"Technical University of Berlin,","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020244234","display_name":"Kai Nagel","orcid":"https://orcid.org/0000-0003-2775-6898","observed_orcids":["https://orcid.org/0000-0003-2775-6898"]},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Nagel","raw_affiliation_strings":["Technical University of Berlin,"],"raw_orcid":"https://orcid.org/0000-0003-2775-6898","affiliations":[{"raw_affiliation_string":"Technical University of Berlin,","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3554,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.923052,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9765999913215637,"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":0.9765999913215637,"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/T10524","display_name":"Traffic control and management","score":0.01209999993443489,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.002300000051036477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.6290000081062317},{"id":"https://openalex.org/keywords/disaggregate-travel-demand-models","display_name":"disaggregate travel demand models","score":0.9139999747276306},{"id":"https://openalex.org/keywords/dynamic-traffic-assignment","display_name":"dynamic traffic assignment","score":0.7680000066757202},{"id":"https://openalex.org/keywords/microsimulation","display_name":"microsimulation","score":0.746999979019165},{"id":"https://openalex.org/keywords/origin-destination-flows","display_name":"origin-destination flows","score":0.7580000162124634},{"id":"https://openalex.org/keywords/measurement-equation","display_name":"measurement equation","score":0.48899999260902405},{"id":"https://openalex.org/keywords/approximate-analytical-solutions","display_name":"approximate analytical solutions","score":0.6399999856948853},{"id":"https://openalex.org/keywords/travel-behavior-modeling","display_name":"travel behavior modeling","score":0.550000011920929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302593946456909},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.611929714679718},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.6077297925949097},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.5899293422698975},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5438225865364075},{"id":"https://openalex.org/C2780015235","wikidata":"https://www.wikidata.org/wiki/Q1934035","display_name":"Microsimulation","level":2,"score":0.47396180033683777},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42059123516082764},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.41054394841194153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2653791308403015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1672345995903015},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.1067126989364624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09460031986236572},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:341270243","doi":null,"is_oa":false,"landing_page_url":"http://www.diva-portal.org/smash/record.jsf?pid=diva2:588549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W34609267","https://openalex.org/W561795868","https://openalex.org/W570088021","https://openalex.org/W645022412","https://openalex.org/W779837215","https://openalex.org/W1611306188","https://openalex.org/W1995315381","https://openalex.org/W1995567757","https://openalex.org/W1997764876","https://openalex.org/W2053128027","https://openalex.org/W2060335853","https://openalex.org/W2068897450","https://openalex.org/W2092411680","https://openalex.org/W2092690092","https://openalex.org/W2167598958","https://openalex.org/W2408832408","https://openalex.org/W2566782122","https://openalex.org/W2598306943","https://openalex.org/W2954749449"],"related_works":["https://openalex.org/W2765548372","https://openalex.org/W634543218","https://openalex.org/W899659740","https://openalex.org/W7054760567","https://openalex.org/W1983405430","https://openalex.org/W1997244282","https://openalex.org/W2089053273","https://openalex.org/W6981152160","https://openalex.org/W2092623846","https://openalex.org/W2082615151"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"the":[3,7,25,30,50,61,120],"problem":[4],"of":[5,10,16,45,63,70,74,78,86,101,155,161,174],"re\ufb01ning":[6],"parameter":[8],"s":[9],"disaggregate":[11,72],"traveldemand":[12],"models":[13,73],"using":[14],"observations":[15],"time-dependent":[17],"network":[18,31,79,103,115],"\ufb02ows.":[19],"The":[20,159],"mea-surement":[21],"function":[22],"that":[23,49],"links":[24],"behavioral":[26,110],"model":[27,111],"parameters":[28,112],"to":[29,108,140],"\ufb02owsis":[32],"given":[33,55],"through":[34],"an":[35,167],"iterated":[36],"DTA":[37,176],"(dynamic":[38],"traf\ufb01c":[39],"assignment":[40],")":[41],"microsimulation.The":[42],"challenging":[43],"aspect":[44],"this":[46],"con\ufb01guration":[47],"is":[48,60,166,179],"meas":[51],"urement":[52],"equation":[53],"isnot":[54],"in":[56,68,153],"closed":[57],"form":[58],"but":[59],"result":[62],"a":[64,84,156,170],"complex":[65],"simulation":[66],"process,":[67],"thecourse":[69],"which":[71],"travel":[75,125],"behavior":[76],"and":[77,90,94,181],"\ufb02ows":[80,122],"arerepeatedly":[81],"evaluated":[82],"until":[83],"state":[85],"consistency":[87],"between":[88],"demand":[89,126],"supply":[91,116],"isattained":[92],"(Nagel":[93],"Flotterod,":[95],"forthcoming;":[96],"Cascetta,":[97],"1989).The":[98],"increased":[99],"availability":[100],"detailed":[102],"surveillance":[104],"data":[105],"triggered":[106],"recentefforts":[107],"calibrate":[109],"(and":[113],"also":[114],"param-eters)":[117],"jointly":[118],"with":[119],"origin/destination":[121],"represent":[123],"ing":[124],"levels(Antoniou":[127],"et":[128,134,163],"al.,":[129,135],"2007;":[130],"Balakrishna,":[131],"2006;":[132],"Vaze":[133],"2009).":[136],"These":[137],"approaches,however,":[138],"resort":[139],"black":[141],"box":[142],"optimization":[143],"techniques":[144],"that,":[145],"by":[146],"design,":[147],"exploit":[148],"prob-lem":[149],"structure":[150],"at":[151],"most":[152],"terms":[154],"numerical":[157],"linearization.":[158],"approach":[160],"Flot-terod":[162],"al.":[164],"(2011)":[165],"exception;":[168],"here,":[169],"tractable":[171],"analytical":[172],"approximation":[173],"acomplete":[175],"microsimulation":[177],"system":[178],"developed":[180],"exploited.":[182],"That":[183],"research":[184]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}