{"id":"https://openalex.org/W4256527077","doi":"https://doi.org/10.1109/wsc.2016.7822280","title":"A discrete event simulation model of the Viennese subway system for decision support and strategic planning","display_name":"A discrete event simulation model of the Viennese subway system for decision support and strategic planning","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W4256527077","doi":"https://doi.org/10.1109/wsc.2016.7822280"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2016.7822280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008094693","display_name":"David Schmaranzer","orcid":"https://orcid.org/0000-0002-9028-3061"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]},{"id":"https://openalex.org/I4210105054","display_name":"Christian Doppler Laboratory for Thermoelectricity","ror":"https://ror.org/01cbw5x35","country_code":"AT","type":"facility","lineage":["https://openalex.org/I129774422","https://openalex.org/I145847075","https://openalex.org/I4210105054"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"David Schmaranzer","raw_affiliation_strings":["Christian-Doppler-Laboratory for Efficient Intermodal Transport Operations, University of Vienna, Vienna, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Christian-Doppler-Laboratory for Efficient Intermodal Transport Operations, University of Vienna, Vienna, AUSTRIA","institution_ids":["https://openalex.org/I129774422","https://openalex.org/I4210105054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088742299","display_name":"Roland Braune","orcid":"https://orcid.org/0000-0003-4086-229X"},"institutions":[{"id":"https://openalex.org/I102248843","display_name":"Vienna University of Economics and Business","ror":"https://ror.org/03yn8s215","country_code":"AT","type":"education","lineage":["https://openalex.org/I102248843"]},{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Roland Braune","raw_affiliation_strings":["Department of Business Administration, University of Vienna, Vienna, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, University of Vienna, Vienna, AUSTRIA","institution_ids":["https://openalex.org/I102248843","https://openalex.org/I129774422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021047347","display_name":"Karl F. Doerner","orcid":"https://orcid.org/0000-0001-8350-1393"},"institutions":[{"id":"https://openalex.org/I102248843","display_name":"Vienna University of Economics and Business","ror":"https://ror.org/03yn8s215","country_code":"AT","type":"education","lineage":["https://openalex.org/I102248843"]},{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Karl F. Doerner","raw_affiliation_strings":["Department of Business Administration, University of Vienna, Vienna, AUSTRIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, University of Vienna, Vienna, AUSTRIA","institution_ids":["https://openalex.org/I102248843","https://openalex.org/I129774422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5401,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8649174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2406","last_page":"2417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10524","display_name":"Traffic control and management","score":0.996999979019165,"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/bottleneck","display_name":"Bottleneck","score":0.7928766012191772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5872349739074707},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5644612312316895},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.534668505191803},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5275625586509705},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4771651327610016},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4408054053783417},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.43225789070129395},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.4233623445034027},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4193198084831238},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4192368984222412},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.41841331124305725},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4102838635444641},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3291785717010498},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.28663623332977295},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.153324693441391},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13714879751205444}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7928766012191772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872349739074707},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5644612312316895},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.534668505191803},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5275625586509705},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4771651327610016},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4408054053783417},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.43225789070129395},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.4233623445034027},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4193198084831238},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4192368984222412},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.41841331124305725},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4102838635444641},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3291785717010498},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28663623332977295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.153324693441391},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13714879751205444},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc.2016.7822280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2016.7822280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W97552014","https://openalex.org/W1845125040","https://openalex.org/W1973571177","https://openalex.org/W2001549036","https://openalex.org/W2014522338","https://openalex.org/W2017880525","https://openalex.org/W2037637901","https://openalex.org/W2043015715","https://openalex.org/W2054149938","https://openalex.org/W2065846791","https://openalex.org/W2068829733","https://openalex.org/W2077613353","https://openalex.org/W2105806740","https://openalex.org/W2108979008","https://openalex.org/W2122203560","https://openalex.org/W2162984166","https://openalex.org/W2409940225","https://openalex.org/W4237138370","https://openalex.org/W6638792598","https://openalex.org/W6667299615","https://openalex.org/W6714468663"],"related_works":["https://openalex.org/W624185289","https://openalex.org/W1520414485","https://openalex.org/W2156514048","https://openalex.org/W2316305435","https://openalex.org/W2380183412","https://openalex.org/W567360884","https://openalex.org/W2327651227","https://openalex.org/W1991947017","https://openalex.org/W1968943180","https://openalex.org/W565012265"],"abstract_inverted_index":{"In":[0],"this":[1,90],"paper,":[2],"we":[3],"present":[4],"a":[5,48,52,57,144,147],"discrete":[6],"event":[7],"simulation":[8],"model":[9,91],"of":[10,44,73,89],"the":[11,42,121,133],"Viennese":[12],"subway":[13],"network":[14],"with":[15],"capacity":[16],"constraints":[17],"and":[18,24,32,50,118,132,146],"time-dependent":[19,58],"demand.":[20],"Demand,":[21],"passenger":[22],"transfer":[23],"travel":[25,31,80,130],"times":[26,35,81],"as":[27,29],"well":[28],"vehicle":[30,74,78],"turning":[33],"maneuver":[34],"are":[36,82,120,124],"stochastic.":[37],"Capacity":[38],"restrictions":[39],"apply":[40],"to":[41,93,101,114],"number":[43],"waiting":[45],"passengers":[46],"on":[47,66],"platform":[49],"within":[51],"vehicle.":[53],"Passenger":[54],"generation":[55],"is":[56,92],"Poisson":[59],"process":[60],"which":[61],"uses":[62],"hourly":[63],"origin-destination-matrices":[64],"based":[65],"mobile":[67],"phone":[68],"data.":[69],"A":[70],"statistical":[71],"analysis":[72],"data":[75],"revealed":[76],"that":[77],"inter-station":[79],"not":[83],"time-":[84],"but":[85],"direction-dependent.":[86],"The":[87],"purpose":[88],"support":[94],"strategic":[95],"decision":[96],"making":[97],"by":[98],"performing":[99],"what-if-scenarios":[100],"gain":[102],"managerial":[103],"insights.":[104],"Such":[105],"decisions":[106],"involve":[107],"how":[108],"many":[109],"vehicles":[110],"may":[111],"be":[112],"needed":[113],"achieve":[115],"certain":[116],"headways":[117],"what":[119],"consequences.":[122],"There":[123],"trade-offs":[125],"between":[126],"customer":[127],"satisfaction":[128],"(e.g.":[129,138],"time)":[131],"transportation":[134],"system":[135],"provider's":[136],"view":[137],"mileage).":[139],"First":[140],"results":[141],"allow":[142],"for":[143],"bottleneck":[145],"sensitivity":[148],"analysis.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
