{"id":"https://openalex.org/W2978561897","doi":"https://doi.org/10.1109/tits.2019.2940724","title":"Understanding Citywide Resident Mobility Using Big Data of Electronic Registration Identification of Vehicles","display_name":"Understanding Citywide Resident Mobility Using Big Data of Electronic Registration Identification of Vehicles","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2978561897","doi":"https://doi.org/10.1109/tits.2019.2940724","mag":"2978561897"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2940724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2940724","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/A5041459842","display_name":"Linjiang Zheng","orcid":"https://orcid.org/0000-0002-9180-2425"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linjiang Zheng","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9180-2425","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016639849","display_name":"Xia Dong","orcid":"https://orcid.org/0000-0002-0156-3345"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xia","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0156-3345","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379362","display_name":"Li Chen","orcid":"https://orcid.org/0009-0004-6284-103X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011530053","display_name":"Dihua Sun","orcid":"https://orcid.org/0000-0001-6559-1495"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dihua Sun","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6559-1495","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Dependable Service Computing in Cyber Physical Society of the Ministry of Education, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041459842"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":8.6921,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.97110656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"10","first_page":"4363","last_page":"4377"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9962000250816345,"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/T11106","display_name":"Data Management and Algorithms","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7108204364776611},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6441590785980225},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6302005052566528},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6184620261192322},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6146135926246643},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.586030125617981},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.5520548820495605},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4744057357311249},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4687899053096771},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4428150951862335},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43155938386917114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34419435262680054},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32468104362487793},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15484905242919922}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7108204364776611},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6441590785980225},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6302005052566528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6184620261192322},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6146135926246643},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.586030125617981},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.5520548820495605},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4744057357311249},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4687899053096771},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4428150951862335},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43155938386917114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34419435262680054},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32468104362487793},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15484905242919922},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2019.2940724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2940724","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":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W976226029","https://openalex.org/W1559870735","https://openalex.org/W1638498331","https://openalex.org/W1966024949","https://openalex.org/W1970574049","https://openalex.org/W1982300822","https://openalex.org/W1985071916","https://openalex.org/W1985690171","https://openalex.org/W1990444226","https://openalex.org/W1991551840","https://openalex.org/W2002527117","https://openalex.org/W2009076082","https://openalex.org/W2009155608","https://openalex.org/W2023596329","https://openalex.org/W2024925998","https://openalex.org/W2041371899","https://openalex.org/W2045725851","https://openalex.org/W2047254397","https://openalex.org/W2086961842","https://openalex.org/W2090702599","https://openalex.org/W2102608210","https://openalex.org/W2106858492","https://openalex.org/W2112738128","https://openalex.org/W2115868680","https://openalex.org/W2117043607","https://openalex.org/W2133059825","https://openalex.org/W2139203421","https://openalex.org/W2140190241","https://openalex.org/W2144506299","https://openalex.org/W2153207204","https://openalex.org/W2161160262","https://openalex.org/W2278574598","https://openalex.org/W2299288249","https://openalex.org/W2304178254","https://openalex.org/W2311839348","https://openalex.org/W2343167329","https://openalex.org/W2505396488","https://openalex.org/W2522004770","https://openalex.org/W2533169386","https://openalex.org/W2549639747","https://openalex.org/W2554727732","https://openalex.org/W2560603808","https://openalex.org/W2611544773","https://openalex.org/W2624735749","https://openalex.org/W2653311480","https://openalex.org/W2782078221","https://openalex.org/W2791677100","https://openalex.org/W2793343370","https://openalex.org/W2802508687","https://openalex.org/W2807553909","https://openalex.org/W2808453126","https://openalex.org/W2883955855","https://openalex.org/W6633462188","https://openalex.org/W6681511972","https://openalex.org/W6724686424","https://openalex.org/W6727056986"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W2126194848","https://openalex.org/W3001431193","https://openalex.org/W2955605379","https://openalex.org/W4366491531","https://openalex.org/W2904515274","https://openalex.org/W2024348445","https://openalex.org/W4320024144"],"abstract_inverted_index":{"Urban":[0],"mobility":[1,32,89,188],"is":[2,65,155],"enjoying":[3],"much":[4],"attention":[5],"due":[6,40],"to":[7,41,46,69],"increasingly":[8],"serious":[9],"traffic":[10],"and":[11,106,179],"environment":[12],"problems":[13],"in":[14,116],"cities.":[15],"Private":[16],"cars":[17,39,92],"are":[18,118,137],"the":[19,42,56,87,111,125,163,171,177,180,186],"most":[20],"important":[21],"component":[22],"of":[23,44,59,90,134,182,190],"urban":[24,31,88,187],"road":[25],"traffic.":[26],"However,":[27],"current":[28],"research":[29,99],"on":[30,75,94,124,152],"seldom":[33],"employs":[34],"travel":[35,127],"data":[36,48,153,161],"from":[37],"private":[38,91,191],"lack":[43],"access":[45],"corresponding":[47],"acquisition.":[49],"This":[50,80],"problem":[51],"can":[52,174],"be":[53],"solved":[54],"with":[55],"massive":[57],"application":[58],"Electronic":[60],"Registration":[61],"Identification":[62,78],"(ERI),":[63],"which":[64],"an":[66],"emerging":[67],"technology":[68],"identify":[70],"a":[71,83,147],"unique":[72],"vehicle":[73],"based":[74,93,123,151],"Radio":[76],"Frequency":[77],"(RFID).":[79],"paper":[81],"proposes":[82],"framework":[84],"for":[85],"discovering":[86],"ERI":[95],"data.":[96],"The":[97,131,166],"main":[98],"content":[100],"includes":[101],"two":[102],"parts:":[103],"trajectory":[104,112],"segmentation":[105],"attractive":[107,144,183],"area":[108,145],"mining.":[109],"In":[110,143],"segmentation,":[113],"stay":[114],"segments":[115],"trajectories":[117],"identified":[119],"by":[120,139],"Bayes":[121],"classification":[122],"link":[126,136],"time":[128],"distribution":[129],"model.":[130],"model":[132],"parameters":[133],"each":[135],"trained":[138],"Expectation":[140],"Maximization(EM)":[141],"algorithm.":[142],"mining,":[146],"spatial":[148],"clustering":[149],"algorithm":[150],"field":[154],"introduced.":[156],"Finally,":[157],"we":[158],"utilized":[159],"real-world":[160],"into":[162],"proposed":[164,172],"algorithms.":[165],"experimental":[167],"results":[168],"show":[169],"that":[170],"method":[173],"accurately":[175],"segment":[176],"trajectory,":[178],"visualization":[181],"areas":[184],"reveals":[185],"characteristics":[189],"cars.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
