{"id":"https://openalex.org/W2561002798","doi":"https://doi.org/10.3233/ia-160102","title":"Route choice in pedestrian simulation: Design and evaluation of a model based on\u00a0empirical observations","display_name":"Route choice in pedestrian simulation: Design and evaluation of a model based on\u00a0empirical observations","publication_year":2016,"publication_date":"2016-12-12","ids":{"openalex":"https://openalex.org/W2561002798","doi":"https://doi.org/10.3233/ia-160102","mag":"2561002798"},"language":"en","primary_location":{"id":"doi:10.3233/ia-160102","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ia-160102","pdf_url":"https://content.iospress.com:443/download/intelligenza-artificiale/ia102?id=intelligenza-artificiale%2Fia102","source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/intelligenza-artificiale/ia102?id=intelligenza-artificiale%2Fia102","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047773273","display_name":"Luca Crociani","orcid":"https://orcid.org/0000-0002-4660-4622"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Crociani","raw_affiliation_strings":["Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029626385","display_name":"Giuseppe Vizzari","orcid":"https://orcid.org/0000-0002-7916-6438"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Vizzari","raw_affiliation_strings":["Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030079484","display_name":"Daichi Yanagisawa","orcid":"https://orcid.org/0000-0001-7497-8413"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Yanagisawa","raw_affiliation_strings":["Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan","Fax: +39 0264487839","E-mail:"],"affiliations":[{"raw_affiliation_string":"Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Fax: +39 0264487839","institution_ids":[]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086650139","display_name":"Katsuhiro Nishinari","orcid":"https://orcid.org/0000-0003-3069-1757"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhiro Nishinari","raw_affiliation_strings":["Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan","Fax: +39 0264487839","E-mail:"],"affiliations":[{"raw_affiliation_string":"Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Fax: +39 0264487839","institution_ids":[]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043767376","display_name":"Stefania Bandini","orcid":"https://orcid.org/0000-0002-7056-0543"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["IT","JP"],"is_corresponding":false,"raw_author_name":"Stefania Bandini","raw_affiliation_strings":["Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy","Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Complex Systems and Artificial Intelligence Research Centre, University of Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]},{"raw_affiliation_string":"Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047773273"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":null,"apc_paid":null,"fwci":4.5364,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.94098826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"163","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9936000108718872,"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/T10370","display_name":"Traffic and Road Safety","score":0.9927999973297119,"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/pedestrian","display_name":"Pedestrian","score":0.850373387336731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514402866363525},{"id":"https://openalex.org/keywords/proxemics","display_name":"Proxemics","score":0.6518283486366272},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5671693086624146},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4697236120700836},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.45376908779144287},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45170676708221436},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4326778054237366},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4278453588485718},{"id":"https://openalex.org/keywords/discrete-choice","display_name":"Discrete choice","score":0.41176629066467285},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3725350797176361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2884782552719116},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2445988655090332},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17260682582855225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10765936970710754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09666305780410767}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.850373387336731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514402866363525},{"id":"https://openalex.org/C170334801","wikidata":"https://www.wikidata.org/wiki/Q171755","display_name":"Proxemics","level":2,"score":0.6518283486366272},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5671693086624146},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4697236120700836},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.45376908779144287},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45170676708221436},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4326778054237366},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4278453588485718},{"id":"https://openalex.org/C190669063","wikidata":"https://www.wikidata.org/wiki/Q5282043","display_name":"Discrete choice","level":2,"score":0.41176629066467285},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3725350797176361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2884782552719116},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2445988655090332},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17260682582855225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10765936970710754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09666305780410767},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ia-160102","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ia-160102","pdf_url":"https://content.iospress.com:443/download/intelligenza-artificiale/ia102?id=intelligenza-artificiale%2Fia102","source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/138831","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/138831","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3233/ia-160102","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ia-160102","pdf_url":"https://content.iospress.com:443/download/intelligenza-artificiale/ia102?id=intelligenza-artificiale%2Fia102","source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2561002798.pdf","grobid_xml":"https://content.openalex.org/works/W2561002798.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W107233025","https://openalex.org/W126588495","https://openalex.org/W1203479534","https://openalex.org/W1575669133","https://openalex.org/W1584793895","https://openalex.org/W1981627423","https://openalex.org/W1986639150","https://openalex.org/W1987371747","https://openalex.org/W1995225412","https://openalex.org/W1995875735","https://openalex.org/W2000214310","https://openalex.org/W2004475878","https://openalex.org/W2005774657","https://openalex.org/W2007497348","https://openalex.org/W2017189277","https://openalex.org/W2025550448","https://openalex.org/W2026000422","https://openalex.org/W2027947332","https://openalex.org/W2040707847","https://openalex.org/W2065042410","https://openalex.org/W2068938653","https://openalex.org/W2074358686","https://openalex.org/W2103120971","https://openalex.org/W2107475457","https://openalex.org/W2107784700","https://openalex.org/W2131358719","https://openalex.org/W2150312211","https://openalex.org/W2208162370","https://openalex.org/W2339527057","https://openalex.org/W2408818325","https://openalex.org/W2412514831","https://openalex.org/W2502179697","https://openalex.org/W2521425432","https://openalex.org/W2604465510","https://openalex.org/W2950610043","https://openalex.org/W2963458940","https://openalex.org/W6634519622","https://openalex.org/W6764279492","https://openalex.org/W6805660341"],"related_works":["https://openalex.org/W112976352","https://openalex.org/W2052798730","https://openalex.org/W2793628147","https://openalex.org/W2164350434","https://openalex.org/W2492115513","https://openalex.org/W2051360178","https://openalex.org/W2170615370","https://openalex.org/W2187168746","https://openalex.org/W2767238748","https://openalex.org/W2387083949"],"abstract_inverted_index":{"Several":[0],"issues":[1],"in":[2,6,80,110,135,242,253,266],"transferring":[3],"AI":[4],"results":[5],"crowd":[7],"modeling":[8,264],"and":[9,35,51,126,149,174,240,248],"simulation":[10,153],"are":[11,19,48,145,169],"due":[12,199],"to":[13,28,53,105,123,147,200,209,222],"the":[14,31,59,66,106,121,131,136,143,164,190,201,204,211,233,243,260,263],"fact":[15,165],"that":[16,166,175,203,219,230],"control":[17],"applications":[18],"aimed":[20,181],"at":[21,182],"achieving":[22],"optimal":[23],"solutions,":[24],"whereas":[25],"simulations":[26],"have":[27],"deal":[29],"with":[30,76,142],"notions":[32],"of":[33,70,100,120,133,177,206,262],"plausibility":[34],"validity.":[36],"The":[37,84,139,159,236],"latter":[38],"requires":[39],"empirical":[40,74],"evidences":[41,75],"that,":[42],"for":[43,155,186,246,258],"some":[44],"s":[45],"pecific":[46],"phenomena,":[47],"still":[49],"scarce":[50],"hard":[52],"acquire.":[54],"To":[55],"face":[56,114],"this":[57],"issue,":[58],"present":[60],"work":[61],"presents":[62],"an":[63,77,196],"investigation":[64],"on":[65],"route":[67,157,178],"choice":[68,93,176],"decisions":[69],"pedestrians,":[71,229],"by":[72,227],"producing":[73],"experiment":[78,85,144,244],"executed":[79],"a":[81,90,115,151,207,215,224,254,267],"controlled":[82],"setting.":[83],"involves":[86],"human":[87],"participants":[88],"facing":[89],"relatively":[91],"simple":[92],"among":[94],"different":[95,137],"paths":[96],"(i.e.":[97],"choose":[98],"one":[99],"two":[101],"available":[102],"gateways":[103],"leading":[104],"same":[107],"target":[108],"area)":[109],"which,":[111],"however,":[112],"they":[113],"trade-off":[116],"situation":[117],"between":[118],"length":[119],"trajectory":[122],"be":[124],"covered":[125],"estimated":[127],"travel":[128],"time,":[129],"considering":[130],"level":[132],"congestion":[134,184],"paths.":[138],"data":[140],"achieved":[141],"used":[146],"design":[148],"evaluate":[150],"general":[152],"model":[154,161,237],"pedestrian":[156,208],"choice.":[158],"proposed":[160],"firstly":[162],"considers":[163],"other":[167,191],"pedestrians":[168],"generally":[170,180],"perceived":[171],"as":[172,250,252],"repulsive":[173],"is":[179,214,220,238],"avoiding":[183],"(as":[185],"proxemics":[187],"theory).":[188],"On":[189],"hand,":[192],"we":[193],"also":[194],"introduce":[195],"additional":[197],"mechanism":[198],"conjecture":[202],"decision":[205],"reconsider":[210],"adopted":[212],"path":[213],"locally":[216],"perceivable":[217],"event":[218],"able":[221],"trigger":[223],"similar":[225],"reconsideration":[226],"nearby":[228],"can":[231],"imitate":[232],"former":[234],"one.":[235],"experimented":[239],"evaluated":[241],"scenario,":[245],"calibration":[247],"validation,":[249],"well":[251],"larger":[255],"scale":[256],"environment,":[257],"exploring":[259],"implications":[261],"choices":[265],"more":[268],"complex":[269],"situation.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}