{"id":"https://openalex.org/W4408145670","doi":"https://doi.org/10.1109/tvt.2025.3547823","title":"Privacy-Preserving Short-Term Travel Demand Forecasting Based on Federated Learning","display_name":"Privacy-Preserving Short-Term Travel Demand Forecasting Based on Federated Learning","publication_year":2025,"publication_date":"2025-03-04","ids":{"openalex":"https://openalex.org/W4408145670","doi":"https://doi.org/10.1109/tvt.2025.3547823"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3547823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3547823","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5044984009","display_name":"Runmeng Du","orcid":"https://orcid.org/0000-0002-0898-4054"},"institutions":[{"id":"https://openalex.org/I27599042","display_name":"Xi'an Polytechnic University","ror":"https://ror.org/03442p831","country_code":"CN","type":"education","lineage":["https://openalex.org/I27599042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runmeng Du","raw_affiliation_strings":["School of Computer Science, Xi'an Polytechnic University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0898-4054","affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi'an Polytechnic University, Xi'an, China","institution_ids":["https://openalex.org/I27599042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082144617","display_name":"Daojing He","orcid":"https://orcid.org/0000-0002-3820-8128"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daojing He","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3820-8128","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381751","display_name":"Yan Song","orcid":"https://orcid.org/0000-0001-7050-4368"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Song","raw_affiliation_strings":["School of Software Engineering, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007811234","display_name":"Zikang Ding","orcid":"https://orcid.org/0000-0001-7204-5724"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Ding","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7204-5724","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091879207","display_name":"Sammy Chan","orcid":"https://orcid.org/0000-0002-8524-229X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sammy Chan","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong","Department of Electrical Engineering, City University of Hong Kong, Hong KongChina"],"raw_orcid":"https://orcid.org/0000-0002-8524-229X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong KongChina","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002877614","display_name":"Xuru Li","orcid":"https://orcid.org/0000-0003-0027-0142"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuru Li","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0027-0142","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044984009"],"corresponding_institution_ids":["https://openalex.org/I27599042"],"apc_list":null,"apc_paid":null,"fwci":1.7976,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82377103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":"7","first_page":"11436","last_page":"11449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.9969000220298767,"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/term","display_name":"Term (time)","score":0.591060221195221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5747155547142029},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.537819504737854},{"id":"https://openalex.org/keywords/on-demand","display_name":"On demand","score":0.4337364435195923},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43303224444389343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406933844089508},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2383584976196289},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23155128955841064},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.18952971696853638},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.17398333549499512}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.591060221195221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5747155547142029},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.537819504737854},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.4337364435195923},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43303224444389343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406933844089508},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2383584976196289},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23155128955841064},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.18952971696853638},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.17398333549499512},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3547823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3547823","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4388910646","display_name":null,"funder_award_id":"62376074","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2807006176","https://openalex.org/W2882698835","https://openalex.org/W2900503258","https://openalex.org/W2912213068","https://openalex.org/W2917998727","https://openalex.org/W2927104047","https://openalex.org/W2993062008","https://openalex.org/W3006655855","https://openalex.org/W3010852232","https://openalex.org/W3101220048","https://openalex.org/W3103283149","https://openalex.org/W3111932599","https://openalex.org/W3121002773","https://openalex.org/W3162566760","https://openalex.org/W3170668730","https://openalex.org/W3176636308","https://openalex.org/W3216116360","https://openalex.org/W3216614101","https://openalex.org/W4206991310","https://openalex.org/W4221096911","https://openalex.org/W4234481182","https://openalex.org/W4281263218","https://openalex.org/W4283834908","https://openalex.org/W4285260582","https://openalex.org/W4286848084","https://openalex.org/W4289822233","https://openalex.org/W4292728587","https://openalex.org/W4293146286","https://openalex.org/W4312973945","https://openalex.org/W4385626284","https://openalex.org/W4392175515","https://openalex.org/W6752029299","https://openalex.org/W6839590809","https://openalex.org/W6851527765"],"related_works":["https://openalex.org/W3031225824","https://openalex.org/W76874415","https://openalex.org/W179828053","https://openalex.org/W2155498013","https://openalex.org/W4393128742","https://openalex.org/W2055064128","https://openalex.org/W2143732059","https://openalex.org/W2409452098","https://openalex.org/W2911602273","https://openalex.org/W4388984121"],"abstract_inverted_index":{"Travel":[0],"demand":[1,66,124],"forecasting":[2],"(TDF)":[3],"is":[4,105],"a":[5,51,60,82,97,148,180],"crucial":[6],"task":[7],"in":[8,59,84],"route":[9],"planning,":[10],"navigation,":[11],"and":[12,73,122,125,154,183],"scheduling.":[13],"However,":[14,43],"developing":[15],"models":[16,86],"for":[17,31,67,87,102,161],"such":[18],"tasks":[19,89],"requires":[20],"significant":[21],"amount":[22],"of":[23,50,64,130,175],"order":[24],"data,":[25],"which":[26],"can":[27],"pose":[28],"privacy":[29,38,140],"concerns":[30,39],"users.":[32],"Federated":[33],"learning":[34],"(FL)":[35],"has":[36],"addressed":[37],"related":[40],"to":[41,54,107,134,159],"TDF.":[42],"previous":[44],"works":[45],"only":[46],"consider":[47],"the":[48,56,65,115,127,131,171,176,184,192],"data":[49,77,104,158,174],"single":[52],"factor":[53],"train":[55],"model,":[57],"resulting":[58],"less":[61],"precise":[62],"assessment":[63],"on-demand":[68],"ride":[69],"services.":[70],"Moreover,":[71],"non-independent":[72],"identically":[74,155],"distributed":[75,156],"(non-IID)":[76],"across":[78],"clients":[79],"also":[80],"brings":[81],"challenge":[83],"personalizing":[85],"TDF":[88,100,137],"when":[90],"applying":[91],"FL":[92,132],"directly.":[93],"In":[94],"this":[95],"work,":[96],"privacy-preserving":[98],"short-term":[99],"scheme":[101,189],"non-IID":[103],"proposed":[106],"deal":[108],"with":[109,139,147],"these":[110],"problems.":[111],"Our":[112],"approach":[113],"analyzes":[114],"correlation":[116],"between":[117],"various":[118],"potential":[119],"influencing":[120],"factors":[121],"travel":[123],"summarizes":[126],"input":[128],"variables":[129],"model":[133,150,163],"achieve":[135],"accurate":[136],"prediction":[138],"preservation.":[141],"Additionally,":[142],"we":[143],"provide":[144],"each":[145],"client":[146],"personalized":[149],"trained":[151],"on":[152,170],"independent":[153],"(IID)":[157],"compensate":[160],"local":[162],"weight":[164],"divergence.":[165],"Finally,":[166],"experiments":[167],"are":[168],"conducted":[169],"2022":[172],"Shanghai":[173],"Didi":[177],"platform":[178],"as":[179],"use":[181],"case,":[182],"results":[185],"demonstrate":[186],"that":[187],"our":[188],"effectively":[190],"improves":[191],"model's":[193],"performance.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}