{"id":"https://openalex.org/W4406857044","doi":"https://doi.org/10.1109/tits.2025.3529290","title":"Bus Passenger Origin-Destination Flow Estimation Using Entry-Only Smartcard Data: A Self-Supervised Learning Method Without Alighting Data","display_name":"Bus Passenger Origin-Destination Flow Estimation Using Entry-Only Smartcard Data: A Self-Supervised Learning Method Without Alighting Data","publication_year":2025,"publication_date":"2025-01-27","ids":{"openalex":"https://openalex.org/W4406857044","doi":"https://doi.org/10.1109/tits.2025.3529290"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3529290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3529290","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/A5001784237","display_name":"Yun Yuan","orcid":"https://orcid.org/0000-0002-7035-4942"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Yuan","raw_affiliation_strings":["College of Transportation Engineering, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng Tan","orcid":"https://orcid.org/0009-0006-2711-8051"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Tan","raw_affiliation_strings":["College of Transportation Engineering, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353915","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-6352-2725"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["College of Transportation Engineering, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Transportation Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356040","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-9562-0506"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China","institution_ids":["https://openalex.org/I119454577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001784237"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":2.0047,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83009203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"4","first_page":"4808","last_page":"4822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9993000030517578,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9993000030517578,"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":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9902999997138977,"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/smart-card","display_name":"Smart card","score":0.7365155220031738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6835494637489319},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5032736659049988},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.48246079683303833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3355311155319214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3257666230201721},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2326270043849945},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2092573642730713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10961714386940002}],"concepts":[{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.7365155220031738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835494637489319},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5032736659049988},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48246079683303833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3355311155319214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3257666230201721},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2326270043849945},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2092573642730713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10961714386940002},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3529290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3529290","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/G2098830352","display_name":null,"funder_award_id":"52402381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5970722995","display_name":null,"funder_award_id":"52272317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6240481227","display_name":null,"funder_award_id":"L24CGL007","funder_id":"https://openalex.org/F4320335472","funder_display_name":"Social Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335472","display_name":"Social Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W151025691","https://openalex.org/W1987352592","https://openalex.org/W2007373465","https://openalex.org/W2011869198","https://openalex.org/W2035971144","https://openalex.org/W2038921590","https://openalex.org/W2070751343","https://openalex.org/W2142338861","https://openalex.org/W2156937801","https://openalex.org/W2295167361","https://openalex.org/W2405696541","https://openalex.org/W2584694034","https://openalex.org/W2599552708","https://openalex.org/W2606105273","https://openalex.org/W2766355296","https://openalex.org/W2803025171","https://openalex.org/W2900350637","https://openalex.org/W2944614267","https://openalex.org/W2947045852","https://openalex.org/W2956452632","https://openalex.org/W2978273467","https://openalex.org/W2989242020","https://openalex.org/W3015108605","https://openalex.org/W3016590529","https://openalex.org/W3019298229","https://openalex.org/W3019366407","https://openalex.org/W3035189907","https://openalex.org/W3035231706","https://openalex.org/W3035530851","https://openalex.org/W3037624214","https://openalex.org/W3082653258","https://openalex.org/W3087390810","https://openalex.org/W3101856276","https://openalex.org/W3119081436","https://openalex.org/W3129983003","https://openalex.org/W3138337643","https://openalex.org/W3157716083","https://openalex.org/W3175581386","https://openalex.org/W3211207279","https://openalex.org/W4205263657","https://openalex.org/W4206153319","https://openalex.org/W4213445996","https://openalex.org/W4221010522","https://openalex.org/W4291733828","https://openalex.org/W4306738998","https://openalex.org/W4313397439","https://openalex.org/W4315473058","https://openalex.org/W4316660991","https://openalex.org/W4317815249","https://openalex.org/W4386918902","https://openalex.org/W4388922863","https://openalex.org/W4389252806","https://openalex.org/W4391593890","https://openalex.org/W4400448300","https://openalex.org/W6678815747"],"related_works":["https://openalex.org/W2120234551","https://openalex.org/W4231013044","https://openalex.org/W615130418","https://openalex.org/W578967464","https://openalex.org/W2086781032","https://openalex.org/W1975848273","https://openalex.org/W1486998541","https://openalex.org/W592351468","https://openalex.org/W2147041311","https://openalex.org/W1592285441"],"abstract_inverted_index":{"To":[0,33,80],"find":[1],"the":[2,12,17,24,35,38,60,82,87,96,108,112,117,131,139,146,157,163,168,172,185,199,206,212],"passenger":[3,77],"Origin-Destination":[4],"(OD)":[5],"flow":[6,50,123,160],"with":[7],"entry-only":[8,109],"smartcard":[9],"transaction":[10],"data,":[11],"existing":[13],"rule-based":[14,28,213],"methods":[15,29],"estimate":[16,47,120],"alighting":[18,78,125],"and":[19,84,104,191],"transfer":[20],"location":[21],"approximately,":[22],"but":[23],"accuracy":[25,36,187],"of":[26,37,86,133,210],"these":[27],"may":[30],"be":[31],"compromised.":[32],"increase":[34],"estimation,":[39],"this":[40],"paper":[41],"proposes":[42],"a":[43,52,90],"learning-based":[44],"method":[45,148],"to":[46,70,119,152,170],"real-time":[48],"OD":[49,122,159,177],"on":[51,59,95,130],"bus":[53,189],"network.":[54],"This":[55],"model":[56],"is":[57,93,142,149,215],"based":[58],"Generative":[61],"Adversarial":[62],"Networks":[63],"self-supervised":[64],"learning":[65],"framework,":[66],"which":[67],"can":[68],"allow":[69],"learn":[71],"high-accuracy":[72],"estimation":[73,174,214],"without":[74,124],"using":[75],"observed":[76],"data.":[79,126],"show":[81,116,167,184],"effectiveness":[83,118],"efficiency":[85],"proposed":[88,147,207],"method,":[89],"case":[91],"study":[92],"conducted":[94],"real-world":[97],"datasets":[98],"in":[99,111,162,203],"Tianjin,":[100],"China,":[101],"Brisbane,":[102],"Australia,":[103],"Panjin,":[105],"China.":[106],"Using":[107,156,198],"data":[110,134,161,195,202],"Tianjin":[113],"case,":[114,165,205],"results":[115,166,182],"accurate":[121,154],"The":[127,179],"sensitivity":[128],"analysis":[129,181],"proportion":[132],"loss":[135,140],"shows":[136],"that":[137],"when":[138],"rate":[141],"less":[143],"than":[144],"40%,":[145],"still":[150],"capable":[151],"provide":[153],"outputs.":[155],"ground-truth":[158],"Brisbane":[164],"ability":[169],"obtain":[171],"realistic":[173],"from":[175],"flawed":[176],"flow.":[178],"robustness":[180],"also":[183],"sufficient":[186],"for":[188],"planning":[190],"operation":[192],"under":[193],"various":[194],"flaw":[196],"levels.":[197],"onboard":[200],"survey":[201],"Panjin":[204],"method\u2019s":[208],"capability":[209],"repairing":[211],"further":[216],"verified.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T15:07:20.185449","created_date":"2025-10-10T00:00:00"}
