{"id":"https://openalex.org/W3109146615","doi":"https://doi.org/10.1109/tits.2020.3036057","title":"Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction","display_name":"Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3109146615","doi":"https://doi.org/10.1109/tits.2020.3036057","mag":"3109146615"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3036057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3036057","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation 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/A5102971183","display_name":"Lingbo Liu","orcid":"https://orcid.org/0000-0001-8179-6685"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingbo Liu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8179-6685","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599624","display_name":"Jingwen Chen","orcid":"https://orcid.org/0000-0002-5756-3336"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061828638","display_name":"Hefeng Wu","orcid":"https://orcid.org/0000-0002-2132-6515"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefeng Wu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2132-6515","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056520525","display_name":"Jiajie Zhen","orcid":"https://orcid.org/0000-0002-3781-8231"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Zhen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3781-8231","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042965510","display_name":"Guanbin Li","orcid":"https://orcid.org/0000-0002-4805-0926"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanbin Li","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4805-0926","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102971183"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":9.9205,"has_fulltext":false,"cited_by_count":180,"citation_normalized_percentile":{"value":0.98796392,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"4","first_page":"3377","last_page":"3391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.6679631471633911},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.6377561688423157},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5458337664604187},{"id":"https://openalex.org/keywords/metro-station","display_name":"Metro station","score":0.44648033380508423},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.43883875012397766},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3928721845149994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3672199845314026},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28703659772872925},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24810823798179626},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23902899026870728},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.22984063625335693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679631471633911},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6377561688423157},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5458337664604187},{"id":"https://openalex.org/C2994559806","wikidata":"https://www.wikidata.org/wiki/Q928830","display_name":"Metro station","level":2,"score":0.44648033380508423},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.43883875012397766},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3928721845149994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3672199845314026},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28703659772872925},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24810823798179626},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23902899026870728},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.22984063625335693},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3036057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3036057","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1874218645","display_name":null,"funder_award_id":"61976250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2952538351","display_name":null,"funder_award_id":"2020B1515020048","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3577923441","display_name":null,"funder_award_id":"U1811463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4031430178","display_name":null,"funder_award_id":"61876045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1549382001","https://openalex.org/W1662382123","https://openalex.org/W1924770834","https://openalex.org/W1982978808","https://openalex.org/W1989522934","https://openalex.org/W2024558842","https://openalex.org/W2038138468","https://openalex.org/W2049952439","https://openalex.org/W2113298739","https://openalex.org/W2130942839","https://openalex.org/W2131739422","https://openalex.org/W2139606794","https://openalex.org/W2148395504","https://openalex.org/W2175433587","https://openalex.org/W2465015709","https://openalex.org/W2528639018","https://openalex.org/W2557171754","https://openalex.org/W2565330852","https://openalex.org/W2588759037","https://openalex.org/W2614121823","https://openalex.org/W2756203131","https://openalex.org/W2788134583","https://openalex.org/W2798749466","https://openalex.org/W2807021761","https://openalex.org/W2808519136","https://openalex.org/W2808535700","https://openalex.org/W2884128153","https://openalex.org/W2889730893","https://openalex.org/W2890385714","https://openalex.org/W2895799837","https://openalex.org/W2899771611","https://openalex.org/W2900471328","https://openalex.org/W2900474539","https://openalex.org/W2901295635","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904832339","https://openalex.org/W2910892140","https://openalex.org/W2912984848","https://openalex.org/W2916106175","https://openalex.org/W2921491036","https://openalex.org/W2946160394","https://openalex.org/W2946964936","https://openalex.org/W2947812485","https://openalex.org/W2949732208","https://openalex.org/W2950817888","https://openalex.org/W2951927893","https://openalex.org/W2956452632","https://openalex.org/W2962790412","https://openalex.org/W2962864047","https://openalex.org/W2963649796","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2964321699","https://openalex.org/W2965341826","https://openalex.org/W2965399951","https://openalex.org/W2965806703","https://openalex.org/W2969825018","https://openalex.org/W2982007926","https://openalex.org/W2982112268","https://openalex.org/W2982310938","https://openalex.org/W2984144959","https://openalex.org/W2996451395","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W2998436408","https://openalex.org/W2998559444","https://openalex.org/W3010986440","https://openalex.org/W3015411705","https://openalex.org/W3015553263","https://openalex.org/W3029978369","https://openalex.org/W3040607188","https://openalex.org/W3087020912","https://openalex.org/W3089555680","https://openalex.org/W3095336680","https://openalex.org/W3100848837","https://openalex.org/W3103720336","https://openalex.org/W4297733535","https://openalex.org/W6604828220","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637178625","https://openalex.org/W6640212811","https://openalex.org/W6679436768","https://openalex.org/W6681619120","https://openalex.org/W6685350579","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6729823683","https://openalex.org/W6748385761","https://openalex.org/W6754502870","https://openalex.org/W6756015008","https://openalex.org/W6760001035"],"related_works":["https://openalex.org/W2054817962","https://openalex.org/W2086397253","https://openalex.org/W2391532150","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1988224651"],"abstract_inverted_index":{"Due":[0],"to":[1,150,166,203],"the":[2,26,42,74,79,91,95,113,116,152,168,187,200,205,212,216],"widespread":[3],"applications":[4],"in":[5,17],"real-world":[6],"scenarios,":[7],"metro":[8,30,54,97,170,194],"ridership":[9,45,76,171,195,209],"prediction":[10,210],"is":[11,86,147],"a":[12,53,63,83,100,104,129,141,159],"crucial":[13],"but":[14],"challenging":[15],"task":[16],"intelligent":[18],"transportation":[19],"systems.":[20],"However,":[21],"conventional":[22],"methods":[23],"either":[24],"ignore":[25],"topological":[27],"information":[28],"of":[29,44,94,115,189,218],"systems":[31],"or":[32],"directly":[33,87],"learn":[34,73],"on":[35,90,175],"physical":[36,84],"topology,":[37],"and":[38,61,103,121,164,182,211,223],"cannot":[39],"fully":[40],"explore":[41],"patterns":[43,77],"evolution.":[46],"To":[47],"address":[48,204],"this":[49],"problem,":[50],"we":[51,157,198],"model":[52,161],"system":[55],"as":[56],"graphs":[57,125],"with":[58,109,162],"various":[59],"topologies":[60,111],"propose":[62],"unified":[64],"Physical-Virtual":[65],"Collaboration":[66],"Graph":[67,130],"Network":[68],"(PVCGN),":[69],"which":[70],"can":[71],"effectively":[72],"complex":[75],"from":[78],"tailor-designed":[80],"graphs.":[81],"Specifically,":[82],"graph":[85,102,106],"built":[88,108],"based":[89],"realistic":[92],"topology":[93],"studied":[96],"system,":[98],"while":[99],"similarity":[101,120],"correlation":[105],"are":[107,126,225],"virtual":[110],"under":[112],"guidance":[114],"inter-station":[117],"passenger":[118],"flow":[119],"correlation.":[122],"These":[123],"complementary":[124],"incorporated":[127],"into":[128],"Convolution":[131],"Gated":[132,143],"Recurrent":[133,144],"Unit":[134,145],"(GC-GRU)":[135],"for":[136,192],"spatial-temporal":[137],"representation":[138],"learning.":[139],"Further,":[140],"Fully-Connected":[142],"(FC-GRU)":[146],"also":[148],"applied":[149],"capture":[151],"global":[153],"evolution":[154],"tendency.":[155],"Finally,":[156],"develop":[158],"Seq2Seq":[160],"GC-GRU":[163],"FC-GRU":[165],"forecast":[167],"future":[169],"sequentially.":[172],"Extensive":[173],"experiments":[174],"two":[176],"large-scale":[177],"benchmarks":[178,224],"(e.g.,":[179],"Shanghai":[180],"Metro":[181],"Hangzhou":[183],"Metro)":[184],"well":[185],"demonstrate":[186],"superiority":[188],"our":[190,219],"PVCGN":[191,202],"station-level":[193],"prediction.":[196],"Moreover,":[197],"apply":[199],"proposed":[201],"online":[206],"origin-destination":[207],"(OD)":[208],"experiment":[213],"results":[214],"show":[215],"universality":[217],"method.":[220],"Our":[221],"code":[222],"available":[226],"at":[227],"<uri>https://github.com/HCPLab-SYSU/PVCGN</uri>.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
