{"id":"https://openalex.org/W4409560460","doi":"https://doi.org/10.1109/tmc.2025.3561791","title":"CrossTrace: Privacy-Aware Cross-System Trajectory Recovery via Hybrid Split and Federated Learning","display_name":"CrossTrace: Privacy-Aware Cross-System Trajectory Recovery via Hybrid Split and Federated Learning","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409560460","doi":"https://doi.org/10.1109/tmc.2025.3561791"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3561791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3561791","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5074546658","display_name":"Zijian Cao","orcid":"https://orcid.org/0000-0001-7294-6602"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Cao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7294-6602","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366122","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-7337-9168"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7337-9168","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080081788","display_name":"Qiyue Wang","orcid":"https://orcid.org/0000-0002-8348-6469"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyue Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017436136","display_name":"Haitao Yuan","orcid":"https://orcid.org/0009-0002-0893-2040"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haitao Yuan","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0009-0002-0893-2040","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Ma","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7199-5047","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005228053","display_name":"Shui Yu","orcid":"https://orcid.org/0000-0003-4485-6743"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shui Yu","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4485-6743","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86063799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"24","issue":"9","first_page":"9255","last_page":"9272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9987999796867371,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9907000064849854,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.882517397403717},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5048090219497681},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4558888077735901},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.45403003692626953},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3845227360725403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.882517397403717},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5048090219497681},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4558888077735901},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.45403003692626953},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3845227360725403},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3561791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3561791","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3015582308","display_name":null,"funder_award_id":"62222202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G36496830","display_name":null,"funder_award_id":"62232004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6287799790","display_name":null,"funder_award_id":"B18008","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W578585133","https://openalex.org/W1979081979","https://openalex.org/W2052958516","https://openalex.org/W2100586428","https://openalex.org/W2144994235","https://openalex.org/W2763100273","https://openalex.org/W2767079719","https://openalex.org/W2768256553","https://openalex.org/W2772460258","https://openalex.org/W2788114581","https://openalex.org/W2794326416","https://openalex.org/W2808478781","https://openalex.org/W2897079037","https://openalex.org/W2911978475","https://openalex.org/W2912818700","https://openalex.org/W2962756421","https://openalex.org/W2973201950","https://openalex.org/W2998831532","https://openalex.org/W3011892127","https://openalex.org/W3012808657","https://openalex.org/W3016632787","https://openalex.org/W3027749727","https://openalex.org/W3040384242","https://openalex.org/W3081224453","https://openalex.org/W3083225819","https://openalex.org/W3091884625","https://openalex.org/W3096342154","https://openalex.org/W3133312630","https://openalex.org/W3147042931","https://openalex.org/W3167211881","https://openalex.org/W3169134134","https://openalex.org/W3173301637","https://openalex.org/W3175833479","https://openalex.org/W3214005682","https://openalex.org/W4226310479","https://openalex.org/W4283366068","https://openalex.org/W4285827226","https://openalex.org/W4290927763","https://openalex.org/W4290944872","https://openalex.org/W4312138951","https://openalex.org/W4312768171","https://openalex.org/W4361857829","https://openalex.org/W4382318390","https://openalex.org/W4384789416","https://openalex.org/W4385245566","https://openalex.org/W4385283024","https://openalex.org/W4385568051","https://openalex.org/W4386243236","https://openalex.org/W4386991635","https://openalex.org/W4403863185","https://openalex.org/W6677892458","https://openalex.org/W6679713772","https://openalex.org/W6728757088","https://openalex.org/W6745537798","https://openalex.org/W6756436328","https://openalex.org/W6780438843","https://openalex.org/W6781232731"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008"],"abstract_inverted_index":{"Massive":[0],"urban-scale":[1],"vehicle":[2],"trajectories":[3,9,77],"benefit":[4],"various":[5],"downstream":[6],"applications.":[7],"However,":[8],"collected":[10],"from":[11,29,52,76],"existing":[12],"sensing":[13],"systems":[14,54,81,97],"are":[15],"often":[16],"incomplete,":[17],"necessitating":[18],"the":[19,62,72,135,164],"recovery":[20,116],"of":[21,36,64,74],"coarse-grained":[22],"trajectories.":[23],"Considering":[24],"that":[25,199],"mobility":[26,65,109,189],"knowledge":[27],"learned":[28],"a":[30,126,142,147,170],"single":[31],"system":[32],"is":[33,152,177],"less":[34],"representative":[35],"all":[37,160,204],"vehicles":[38,75],"or":[39],"covers":[40],"only":[41],"partial":[42],"road":[43,89,161],"segments,":[44],"it":[45],"becomes":[46],"essential":[47],"to":[48,55,82,154,179],"combine":[49],"diverse":[50],"data":[51,94,102],"multiple":[53,96],"support":[56],"trajectory":[57,132,196],"recovery.":[58],"Therefore,":[59],"we":[60,121],"learn":[61],"impacts":[63],"intentions":[66,110],"and":[67,111,188],"dynamic":[68],"traffic":[69,112,157,186],"conditions":[70,158,187],"on":[71,87,193],"movement":[73],"aggregated":[78],"across":[79,95],"different":[80],"recover":[83,180],"their":[84],"travel":[85],"routes":[86],"unobservable":[88],"intersections.":[90],"Nonetheless,":[91],"aggregating":[92],"raw":[93],"raises":[98],"privacy":[99],"concerns.":[100],"This":[101],"isolation":[103],"compounds":[104],"challenges":[105],"in":[106,134,163],"acquiring":[107],"comprehensive":[108],"conditions,":[113],"thereby":[114],"impairing":[115],"performance.":[117],"In":[118],"this":[119],"paper,":[120],"propose":[122],"<italic":[123,136,165,200],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124,137,166,201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">CrossTrace</i>,":[125],"two-stage":[127],"framework":[128],"for":[129,159],"privacy-aware":[130],"cross-system":[131],"recovery:":[133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Traffic":[138],"Condition":[139],"Inference</i>":[140],"stage,":[141,169],"Split":[143],"Learning":[144,172],"pipeline":[145,173],"with":[146,174],"multi-view":[148],"graph":[149],"neural":[150],"network":[151],"utilized":[153,178],"infer":[155],"complete":[156],"segments;":[162],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Trajectory":[167],"Recovery</i>":[168],"Federated":[171],"dedicated":[175],"modules":[176],"missing":[181],"points":[182],"by":[183],"fusing":[184],"inferred":[185],"intentions.":[190],"Extensive":[191],"experiments":[192],"two":[194],"large-scale":[195],"datasets":[197],"demonstrate":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">CrossTrace</i>":[202],"outperforms":[203],"alternative":[205],"schemes.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}