{"id":"https://openalex.org/W4386590198","doi":"https://doi.org/10.1109/tits.2023.3309783","title":"Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications","display_name":"Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386590198","doi":"https://doi.org/10.1109/tits.2023.3309783"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3309783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3309783","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/A5091784825","display_name":"Chenxi Chen","orcid":"https://orcid.org/0000-0002-7094-3296"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chenxi Chen","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7094-3296","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074171950","display_name":"Xianbiao Hu","orcid":"https://orcid.org/0000-0002-0149-1847"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianbiao Hu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0149-1847","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657406","display_name":"Li Yang","orcid":"https://orcid.org/0000-0003-1804-9825"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021430762","display_name":"Qing Tang","orcid":"https://orcid.org/0000-0003-0465-9737"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Tang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0465-9737","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091784825"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":2.8969,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92681944,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"12","first_page":"15158","last_page":"15168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9918000102043152,"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":0.9909999966621399,"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/differential-privacy","display_name":"Differential privacy","score":0.9015624523162842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709208726882935},{"id":"https://openalex.org/keywords/data-publishing","display_name":"Data publishing","score":0.6554148197174072},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5606095194816589},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4847218990325928},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.47995904088020325},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4757397174835205},{"id":"https://openalex.org/keywords/privacy-software","display_name":"Privacy software","score":0.4378575384616852},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3728240430355072},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3233988881111145},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.27389633655548096},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.2544114589691162},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.1964530646800995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11918079853057861},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1138739287853241}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.9015624523162842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709208726882935},{"id":"https://openalex.org/C2781396290","wikidata":"https://www.wikidata.org/wiki/Q17051824","display_name":"Data publishing","level":3,"score":0.6554148197174072},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5606095194816589},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4847218990325928},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.47995904088020325},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4757397174835205},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.4378575384616852},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3728240430355072},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3233988881111145},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27389633655548096},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2544114589691162},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.1964530646800995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11918079853057861},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1138739287853241},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/tits.2023.3309783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3309783","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W179368776","https://openalex.org/W2015569667","https://openalex.org/W2064174652","https://openalex.org/W2085526468","https://openalex.org/W2108215372","https://openalex.org/W2135247979","https://openalex.org/W2137418435","https://openalex.org/W2142406320","https://openalex.org/W2158037536","https://openalex.org/W2832811676","https://openalex.org/W2911978475","https://openalex.org/W2943887451","https://openalex.org/W2957467403","https://openalex.org/W3015622663","https://openalex.org/W3090790792","https://openalex.org/W4285792320","https://openalex.org/W6607310331","https://openalex.org/W6676665312"],"related_works":["https://openalex.org/W2923234599","https://openalex.org/W2961912854","https://openalex.org/W4241535341","https://openalex.org/W4234819362","https://openalex.org/W136304283","https://openalex.org/W3132022922","https://openalex.org/W4387193529","https://openalex.org/W2564793090","https://openalex.org/W2380561796","https://openalex.org/W1974341061"],"abstract_inverted_index":{"Trajectory":[0],"datasets":[1],"have":[2],"been":[3],"widely":[4],"used":[5,51,208],"in":[6,115,209,260],"transportation":[7],"research,":[8],"but":[9],"the":[10,27,41,45,76,91,107,130,140,152,157,169,178,210,225,238,245,252],"risk":[11],"of":[12,26,44,78,93,132,197,251],"privacy":[13,29,56,81,102,141,159,171,246],"breach":[14],"comes":[15],"with":[16,90,224,230],"data":[17,32,42,98,111,189,240],"sharing.":[18],"Privacy":[19],"budget":[20,82,142,172,247],"allocation":[21,83],"is":[22,125,143,165,217,255],"a":[23,100,116,121,133,195,221],"key":[24],"step":[25],"differential":[28,101,158],"(DP)-based":[30],"privacy-preserving":[31],"publishing":[33,94],"(PPDP)":[34],"algorithm":[35,84,216,254],"development,":[36],"as":[37,59],"it":[38],"directly":[39],"impacts":[40],"utility":[43,241],"released":[46],"dataset.":[47],"Most":[48],"prior":[49],"research":[50],"simple":[52],"logic":[53],"to":[54,70,127,150,167,219],"allocate":[55],"budgets,":[57],"such":[58],"evenly":[60],"distributing":[61],"them":[62],"among":[63],"different":[64],"tree":[65,118,148],"levels,":[66],"without":[67],"theoretical":[68],"support":[69],"reach":[71],"optimality.":[72],"This":[73],"manuscript":[74],"presents":[75],"development":[77],"an":[79],"optimal":[80,170],"for":[85,145],"transit":[86],"smart":[87,108,187],"card":[88,109,188],"data,":[89],"goal":[92],"non-interactive":[95],"sanitized":[96,222],"trajectory":[97,110,134],"under":[99],"definition.":[103,160],"To":[104],"this":[105],"end,":[106],"are":[112,181,207],"first":[113],"stored":[114],"prefix":[117,147],"structure,":[119],"and":[120,174,183,202],"query":[122,153],"probability":[123,131],"model":[124],"developed":[126,215],"quantitatively":[128],"measure":[129],"location":[135],"pair":[136],"being":[137],"queried.":[138],"Next,":[139],"optimized":[144],"each":[146],"node":[149],"minimize":[151],"error,":[154],"while":[155],"satisfying":[156],"The":[161,214,249],"Lagrangian":[162],"relaxation":[163],"method":[164],"adopted":[166],"derive":[168],"values,":[173],"several":[175],"propositions":[176],"on":[177],"solution":[179],"property":[180],"proposed":[182,253],"proved.":[184],"Real-life":[185],"metro":[186],"from":[190],"Shenzhen,":[191],"China":[192],"that":[193,237],"include":[194],"total":[196],"2.8":[198],"million":[199,205],"individual":[200],"travelers":[201],"over":[203],"220":[204],"records":[206],"case":[211],"study":[212],"section.":[213],"demonstrated":[218],"output":[220],"dataset":[223],"highest":[226],"utilities":[227],"when":[228,244],"compared":[229],"three":[231],"benchmark":[232],"algorithms.":[233],"Sensitivity":[234],"analysis":[235],"shows":[236],"resulting":[239],"remains":[242],"stable":[243],"changes.":[248],"runtime":[250],"less":[256],"than":[257],"160":[258],"seconds":[259],"all":[261],"experiments,":[262],"exhibiting":[263],"good":[264],"computational":[265],"efficiency.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}