{"id":"https://openalex.org/W2913499954","doi":"https://doi.org/10.1145/3302425.3302442","title":"Prediction of Passenger Flow in the Associated Region outside Subway Station","display_name":"Prediction of Passenger Flow in the Associated Region outside Subway Station","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2913499954","doi":"https://doi.org/10.1145/3302425.3302442","mag":"2913499954"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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/A5005671556","display_name":"Huijuan Zhou","orcid":"https://orcid.org/0000-0001-8614-466X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijuan Zhou","raw_affiliation_strings":["Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414193","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-3117-9926"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052672374","display_name":"Yinghong Li","orcid":"https://orcid.org/0000-0003-3629-519X"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghong Li","raw_affiliation_strings":["Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Urban, Intelligent Traffic Control Technology, North China University of Technology, Beijing China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9980000257492065,"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":0.9965999722480774,"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/flow","display_name":"Flow (mathematics)","score":0.4525926411151886},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37586307525634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3701435923576355},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32404863834381104},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2360984981060028},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11336624622344971},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.08391085267066956}],"concepts":[{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4525926411151886},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37586307525634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3701435923576355},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32404863834381104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2360984981060028},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11336624622344971},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.08391085267066956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302442","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W1999943927","https://openalex.org/W2073847544","https://openalex.org/W2109255472","https://openalex.org/W2131739422","https://openalex.org/W2131767615","https://openalex.org/W2392708022","https://openalex.org/W2795196350"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,26,48,78,158],"accurately":[4],"predict":[5],"the":[6,10,19,28,32,36,50,55,58,65,69,73,80,84,88,91,94,98,102,124,127,131,136,140],"passenger":[7,22,39,95,132,153,163],"flow":[8,96,133],"in":[9,97,129,135],"associated":[11,29,99,137],"region":[12,30,138],"outside":[13,31,139],"subway":[14,33],"station.":[15,34,141],"For":[16],"this":[17],"purpose,":[18],"concept":[20],"of":[21,38,54,87,93,116,126,162],"pool":[23],"was":[24,46,62,105],"introduced":[25],"abstract":[27],"Considering":[35],"features":[37],"flow,":[40],"a":[41,108,146],"nonstationary":[42],"time":[43],"series":[44],"model":[45,71,89,104,128],"established":[47],"determine":[49],"input":[51],"and":[52,72,82],"output":[53],"pool.":[56],"Then,":[57],"cumulative":[59,85],"residual":[60,75],"error":[61,86],"controlled":[63],"within":[64],"confidence":[66],"interval":[67],"by":[68],"ARIMA":[70],"deep":[74],"network,":[76],"aiming":[77],"enhance":[79],"accuracy":[81,125],"reduce":[83],"during":[90],"calculation":[92],"region.":[100],"Finally,":[101],"proposed":[103],"verified":[106],"through":[107],"case":[109],"study":[110],"on":[111],"Bajiao":[112],"Amusement":[113],"Park":[114],"Station":[115],"Beijing":[117],"Subway":[118],"Line":[119],"1.":[120],"The":[121,142],"results":[122],"demonstrate":[123],"predicting":[130],"aggregation":[134],"research":[143],"findings":[144],"provide":[145],"decisive":[147],"basis":[148],"for":[149],"warning":[150],"against":[151],"abnormal":[152],"flows,":[154],"making":[155],"it":[156],"possible":[157],"realize":[159],"efficient":[160],"control":[161],"flow.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}