{"id":"https://openalex.org/W4317542735","doi":"https://doi.org/10.3233/jifs-223110","title":"A cloud model-based method for passenger flow control at subway stations: A real-world case study","display_name":"A cloud model-based method for passenger flow control at subway stations: A real-world case study","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4317542735","doi":"https://doi.org/10.3233/jifs-223110"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-223110","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223110","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy 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/A5089171499","display_name":"Fei Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]},{"id":"https://openalex.org/I4210109779","display_name":"China Academy of Safety Sciences and Technology","ror":"https://ror.org/01pwpsm46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Dou","raw_affiliation_strings":["Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","institution_ids":["https://openalex.org/I4210109779"]},{"raw_affiliation_string":"Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021751044","display_name":"Yun Wei","orcid":"https://orcid.org/0000-0002-9703-4877"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]},{"id":"https://openalex.org/I4210109779","display_name":"China Academy of Safety Sciences and Technology","ror":"https://ror.org/01pwpsm46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Wei","raw_affiliation_strings":["Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","institution_ids":["https://openalex.org/I4210109779"]},{"raw_affiliation_string":"Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075937691","display_name":"Yakun Huang","orcid":"https://orcid.org/0000-0003-4051-0200"},"institutions":[{"id":"https://openalex.org/I4210145478","display_name":"Beijing Municipal Education Commission","ror":"https://ror.org/04bpn6s66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210145478"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yakun Huang","raw_affiliation_strings":["Beijing Municipal Commission of Transport, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Municipal Commission of Transport, Beijing, China","institution_ids":["https://openalex.org/I4210145478"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101932695","display_name":"Yao Ning","orcid":"https://orcid.org/0000-0003-2878-1657"},"institutions":[{"id":"https://openalex.org/I2801441622","display_name":"China Railway Corporation","ror":"https://ror.org/044wv3489","country_code":"CN","type":"government","lineage":["https://openalex.org/I2801441622","https://openalex.org/I4210122102"]},{"id":"https://openalex.org/I4210109779","display_name":"China Academy of Safety Sciences and Technology","ror":"https://ror.org/01pwpsm46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Ning","raw_affiliation_strings":["Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Subway Operation Safety Technology, Beijing, China","institution_ids":["https://openalex.org/I4210109779"]},{"raw_affiliation_string":"Beijing Mass Transit Railway Operation Corp. LTD., Beijing, China","institution_ids":["https://openalex.org/I2801441622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100335949","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-1090-9248"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["Beijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies, Beijing, China","School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100335949"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.6095,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63757821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"44","issue":"4","first_page":"6103","last_page":"6115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9995999932289124,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9923999905586243,"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/beijing","display_name":"Beijing","score":0.6046159863471985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5756893157958984},{"id":"https://openalex.org/keywords/urban-rail-transit","display_name":"Urban rail transit","score":0.5599450469017029},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5044718980789185},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4736325144767761},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4671114683151245},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4141535758972168},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23977205157279968},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15411746501922607}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6046159863471985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5756893157958984},{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.5599450469017029},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5044718980789185},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4736325144767761},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4671114683151245},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4141535758972168},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23977205157279968},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15411746501922607},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-223110","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223110","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1966139184","https://openalex.org/W1984472447","https://openalex.org/W2019599269","https://openalex.org/W2033851778","https://openalex.org/W2082450642","https://openalex.org/W2270082749","https://openalex.org/W2414364427","https://openalex.org/W2514221826","https://openalex.org/W2518233284","https://openalex.org/W2587312920","https://openalex.org/W2766135218","https://openalex.org/W2770970578","https://openalex.org/W2790796102","https://openalex.org/W2809668921","https://openalex.org/W2908211935","https://openalex.org/W3080181502","https://openalex.org/W3198748255","https://openalex.org/W3199797768","https://openalex.org/W3217402958","https://openalex.org/W6745323480","https://openalex.org/W6748987669","https://openalex.org/W6804467738"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W2361035307","https://openalex.org/W2734626210","https://openalex.org/W2953712434","https://openalex.org/W2362631906"],"abstract_inverted_index":{"In":[0,70],"the":[1,40,57,85,116,128,135,138,145,155,168,189,220,223,230,242],"condition":[2],"of":[3,12,28,42,59,89,137,147,157,171,225,237],"large":[4,91],"passenger":[5,13,29,43,80,92,106,158,193,231,243],"flow,":[6],"subway":[7,24,111,130,197],"station":[8,126],"managers":[9],"take":[10],"measures":[11,51],"flow":[14,30,44,49,81,93,107,159,194,232,244],"control":[15,50,108,117,180,195,211,233,245],"organization":[16],"for":[17,79,110,192,207],"reducing":[18],"high":[19],"safety":[20],"operation":[21,35],"risks":[22],"at":[23,94,196],"stations.":[25,248],"The":[26,141,235],"volume":[27],"in":[31,127,165],"urban":[32,64],"railway":[33],"network":[34,173,184],"continues":[36],"to":[37,56,133,179,218,222],"increase":[38],"and":[39,61,100,119,154,182,199,209,229],"Congestion":[41],"is":[45,113,131,151,160],"very":[46],"high.":[47],"Passenger":[48],"can":[52,204],"greatly":[53],"give":[54],"birth":[55],"pressure":[58],"transportation":[60],"ensure":[62],"an":[63,104],"rail":[65],"transit":[66],"system\u2019s":[67],"safe":[68],"operation.":[69],"this":[71],"paper,":[72],"we":[73],"develop":[74],"a":[75,90,125,201],"cloud":[76],"model-based":[77],"method":[78,191,203],"control,":[82],"which":[83],"extends":[84],"four-level":[86],"risk-control":[87],"grade":[88],"facilities":[95],"by":[96],"considering":[97],"its":[98],"fuzzy":[99],"stochastic":[101],"characteristics.":[102],"Then,":[103],"efficient":[105],"strategy":[109],"stations":[112,198],"made,":[114],"where":[115],"time":[118,146],"locations":[120],"are":[121],"simultaneously":[122,240],"determined.":[123],"Finally,":[124],"Beijing":[129],"studied":[132],"test":[134],"validity":[136],"proposed":[139],"approach.":[140],"results":[142],"show":[143],"that":[144],"maximum":[148],"queuing":[149],"length":[150],"much":[152],"shorter":[153],"density":[156],"lower":[161],"than":[162],"existing":[163],"methods":[164],"practice.":[166],"With":[167],"in-depth":[169],"study":[170],"complex":[172],"controllability,":[174],"many":[175],"studies":[176,239],"have":[177,216],"applied":[178],"judgment":[181],"real":[183],"optimization.":[185],"This":[186],"paper":[187],"analyzes":[188],"cloud-model-based":[190],"therefore":[200],"new":[202],"be":[205],"incorporated":[206],"developing":[208],"optimizing":[210],"strategies.":[212],"A":[213],"few":[214],"researchers":[215],"attempted":[217],"find":[219],"solution":[221],"problem":[224],"crowding":[226],"risk":[227],"classification":[228],"strategy.":[234],"focus":[236],"some":[238],"solves":[241],"with":[246],"multiple":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}