{"id":"https://openalex.org/W2301092467","doi":"https://doi.org/10.5075/epfl-thesis-6876","title":"Modeling and estimation of pedestrian flows in train stations","display_name":"Modeling and estimation of pedestrian flows in train stations","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2301092467","doi":"https://doi.org/10.5075/epfl-thesis-6876","mag":"2301092467"},"language":"en","primary_location":{"id":"pmh:oai:infoscience.epfl.ch:217368","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/217368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/217368","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079600798","display_name":"Flurin H\u00e4nseler","orcid":"https://orcid.org/0000-0002-5000-9551"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H\u00e4nseler, Flurin Silvan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5079600798"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9502,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89085393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/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":0.9984999895095825,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9962000250816345,"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/pedestrian","display_name":"Pedestrian","score":0.7988101243972778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227869391441345},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5381027460098267},{"id":"https://openalex.org/keywords/cell-transmission-model","display_name":"Cell Transmission Model","score":0.5376734733581543},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5214378237724304},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5199519395828247},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.506567120552063},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4517570734024048},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33135613799095154},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3303610682487488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23809421062469482},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.20121294260025024},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13578283786773682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11075824499130249}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7988101243972778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227869391441345},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5381027460098267},{"id":"https://openalex.org/C139417690","wikidata":"https://www.wikidata.org/wiki/Q5058168","display_name":"Cell Transmission Model","level":3,"score":0.5376734733581543},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5214378237724304},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5199519395828247},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.506567120552063},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4517570734024048},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33135613799095154},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3303610682487488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23809421062469482},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.20121294260025024},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13578283786773682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11075824499130249},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:infoscience.epfl.ch:217368","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/217368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.5075/epfl-thesis-6876","is_oa":true,"landing_page_url":"https://doi.org/10.5075/epfl-thesis-6876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dissertation"},{"id":"mag:2301092467","is_oa":false,"landing_page_url":"https://transp-or.epfl.ch/documents/talks/Flurin_PrivDef.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:217368","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/217368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1538217831","https://openalex.org/W1601143289","https://openalex.org/W1981269398","https://openalex.org/W1985205172","https://openalex.org/W1999221817","https://openalex.org/W2018414825","https://openalex.org/W2033851778","https://openalex.org/W2040432292","https://openalex.org/W2055005740","https://openalex.org/W2082454007","https://openalex.org/W2088798922","https://openalex.org/W2101854379","https://openalex.org/W2116891364","https://openalex.org/W2154927732","https://openalex.org/W2164792047","https://openalex.org/W2247718856"],"related_works":["https://openalex.org/W1970437403","https://openalex.org/W2034065454","https://openalex.org/W2914370060","https://openalex.org/W3152001680","https://openalex.org/W590642131","https://openalex.org/W1497908359","https://openalex.org/W2194967539","https://openalex.org/W3007993677","https://openalex.org/W2105421904","https://openalex.org/W2297916505","https://openalex.org/W2811501231","https://openalex.org/W2908415324","https://openalex.org/W1543480643","https://openalex.org/W639302294","https://openalex.org/W2250930864","https://openalex.org/W2189447144","https://openalex.org/W604706836","https://openalex.org/W2947837049","https://openalex.org/W2440655608","https://openalex.org/W625149451"],"abstract_inverted_index":{"This":[0],"thesis":[1,246],"addresses":[2],"two":[3],"modeling":[4,240,303,330],"problems":[5],"related":[6],"to":[7,305,336,357,367,380],"pedestrian":[8,17,143,154,257,276,339,372],"flows":[9,121,373],"in":[10,20,32,49,89,199,260,316,391],"train":[11,101,261,288,326],"stations,":[12,327],"namely":[13],"that":[14,25,86,145,167,306],"of":[15,26,30,51,92,112,133,142,175,210,219,224,237,244,285,321,364,393],"estimating":[16],"origin-destination":[18],"demand":[19,63,259],"rail":[21,226,322],"access":[22,227,323],"facilities,":[23,340,366],"and":[24,59,67,103,156,222,234,274,309,319,362,369,377,382,390],"describing":[27,47],"the":[28,44,54,90,96,100,110,113,131,150,157,186,191,205,220,232,238,245,301,317,328,359,384],"propagation":[29,132],"pedestrians":[31,48],"walking":[33,187,192,349],"facilities.":[34,324],"For":[35,351],"both":[36,386],"problems,":[37],"a":[38,140,161,172,195,207,252,266,281,286,292],"mathematical":[39],"framework":[40,304,331],"is":[41,65,81,137,165,197,214,229,247,296],"developed":[42,329],"at":[43,201],"aggregate":[45],"level,":[46],"terms":[50],"groups":[52],"with":[53],"same":[55],"departure":[56],"time,":[57],"origin":[58],"destination.":[60],"The":[61,242],"proposed":[62,97,239],"estimator":[64],"probabilistic":[66],"accounts":[68],"for":[69,75,153,256,272,290,313],"within-day":[70],"dynamics":[71],"as":[72,74,119,139,342],"well":[73],"natural":[76],"fluctuations":[77],"across":[78],"days.":[79],"It":[80],"inspired":[82],"by":[83],"estimation":[84,254],"methodologies":[85],"are":[87],"used":[88,170,356],"context":[91],"vehicular":[93],"traffic.":[94],"Critically,":[95],"methodology":[98,255],"takes":[99],"timetable":[102],"ridership":[104],"data":[105,294],"into":[106],"account,":[107],"significantly":[108],"improving":[109],"accuracy":[111],"estimates.":[114],"Other":[115],"information":[116],"sources,":[117],"such":[118,341,365],"link":[120],"or":[122,347,379],"sales":[123],"data,":[124],"can":[125,168,332],"also":[126],"be":[127,169,333,355],"incorporated.":[128],"To":[129],"describe":[130],"pedestrians,":[134],"walkable":[135],"space":[136],"considered":[138],"network":[141,269],"streams":[144],"interact":[146],"locally.":[147],"Based":[148],"on":[149,190],"continuum":[151],"theory":[152],"flow":[155],"cell":[158],"transmission":[159],"model,":[160],"computationally":[162],"efficient":[163],"model":[164,271],"obtained":[166],"under":[171],"wide":[173],"range":[174],"traffic":[176],"conditions.":[177],"An":[178],"optional":[179],"extension":[180],"allows":[181],"considering":[182],"anisotropic":[183],"flow,":[184],"where":[185],"speed":[188],"depends":[189],"direction.":[193],"Such":[194],"formulation":[196],"advantageous":[198],"particular":[200],"high":[202],"densities.":[203],"Throughout":[204],"thesis,":[206],"case":[208,283,307,392],"study":[209,284],"Lausanne":[211],"railway":[212],"station":[213],"considered.":[215],"A":[216],"detailed":[217,282],"discussion":[218],"usage":[221],"level-of-service":[223],"its":[225,314],"facilities":[228],"provided,":[230],"underlining":[231],"performance":[233],"practical":[235,311],"applicability":[236],"framework.":[241],"contribution":[243],"fourfold.":[248],"First,":[249],"it":[250,264,279,299,353],"provides":[251,310],"dedicated":[253],"OD":[258],"stations.":[262],"Second,":[263],"proposes":[265],"novel":[267],"macroscopic":[268],"loading":[270],"congested":[273],"multi-directional":[275],"flows.":[277],"Third,":[278],"presents":[280],"Swiss":[287],"station,":[289],"which":[291],"rich":[293],"set":[295],"collected.":[297],"Finally,":[298],"applies":[300],"aforementioned":[302],"study,":[308],"guidance":[312],"use":[315,389],"planning":[318,361],"dimensioning":[320],"Beyond":[325],"readily":[334],"applied":[335],"various":[337],"other":[338],"airports,":[343],"shopping":[344],"malls,":[345],"stadiums":[346],"urban":[348],"areas.":[350],"instance,":[352],"may":[354],"support":[358],"organization,":[360],"design":[363],"safely":[368],"efficiently":[370],"manage":[371],"using":[374],"real-time":[375],"monitoring":[376],"control,":[378],"assess":[381],"optimize":[383],"safety":[385],"during":[387],"normal":[388],"emergency.":[394]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-23T05:56:39.545243","created_date":"2025-10-10T00:00:00"}