{"id":"https://openalex.org/W4281608480","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767393","title":"Synthesizing Town-scale Vehicle Mobility from Traffic Surveillance Cameras: A Case Study","display_name":"Synthesizing Town-scale Vehicle Mobility from Traffic Surveillance Cameras: A Case Study","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4281608480","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767393"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops53856.2022.9767393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767393","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047517948","display_name":"Kazuki Hayashi","orcid":"https://orcid.org/0000-0001-5217-2873"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Hayashi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053113350","display_name":"Akihito Hiromori","orcid":"https://orcid.org/0000-0002-3738-2415"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihito Hiromori","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084448172","display_name":"Hirozumi Yamaguchi","orcid":"https://orcid.org/0000-0003-2273-4876"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirozumi Yamaguchi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003111383","display_name":"Masaki Suzuki","orcid":"https://orcid.org/0000-0002-0677-7828"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Suzuki","raw_affiliation_strings":["KDDI Research, Inc.,Tokyo,Japan","KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210164495"]},{"raw_affiliation_string":"KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065435508","display_name":"Takeshi Kitahara","orcid":"https://orcid.org/0000-0001-7063-5122"},"institutions":[{"id":"https://openalex.org/I4210164495","display_name":"KDDI Research (Japan)","ror":"https://ror.org/05qsqt662","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210164495"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kitahara","raw_affiliation_strings":["KDDI Research, Inc.,Tokyo,Japan","KDDI Research, Inc., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Research, Inc.,Tokyo,Japan","institution_ids":["https://openalex.org/I4210164495"]},{"raw_affiliation_string":"KDDI Research, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210164495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0821,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85296679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.6171061992645264},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5917282700538635},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5455541014671326},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5354495048522949},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5138530731201172},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.46547457575798035},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.44422733783721924},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4294562339782715},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.4113069176673889},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.41074588894844055},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37255334854125977},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24864697456359863},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.20549342036247253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15531590580940247},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14791253209114075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13737177848815918},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10062640905380249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171061992645264},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5917282700538635},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5455541014671326},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5354495048522949},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5138530731201172},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.46547457575798035},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44422733783721924},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4294562339782715},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.4113069176673889},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.41074588894844055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37255334854125977},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24864697456359863},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.20549342036247253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15531590580940247},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14791253209114075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13737177848815918},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10062640905380249},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops53856.2022.9767393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767393","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4890541073","display_name":"Mobility Generation in Cyber Space Based on Real-world Understanding","funder_award_id":"19H04095","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1996212582","https://openalex.org/W1999692945","https://openalex.org/W2003087039","https://openalex.org/W2028893095","https://openalex.org/W2046398502","https://openalex.org/W2060140077","https://openalex.org/W2075004209","https://openalex.org/W2079553801","https://openalex.org/W2090192376","https://openalex.org/W2107647298","https://openalex.org/W2148343118","https://openalex.org/W2157928093","https://openalex.org/W2160933868","https://openalex.org/W2180856656","https://openalex.org/W2581761873","https://openalex.org/W2755164733","https://openalex.org/W2769716261","https://openalex.org/W2968606249","https://openalex.org/W3020078450","https://openalex.org/W3032362243","https://openalex.org/W4403179363"],"related_works":["https://openalex.org/W2379834692","https://openalex.org/W2047739511","https://openalex.org/W4220875044","https://openalex.org/W2058830477","https://openalex.org/W2913114592","https://openalex.org/W2322247726","https://openalex.org/W4206269847","https://openalex.org/W2317459805","https://openalex.org/W2074943018","https://openalex.org/W1977405947"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,25,74,108],"case":[4],"study":[5],"on":[6,97],"synthesizing":[7],"realistic":[8],"vehicle":[9,57,104],"mobility":[10,105,125],"using":[11,35,107],"link":[12,64,121],"traffic":[13,65,95,109,139],"information":[14,72],"extracted":[15],"from":[16],"surveillance":[17],"videos.":[18,69],"Our":[19],"trial":[20],"has":[21],"been":[22],"conducted":[23],"in":[24,38,46,66,83,141],"town":[26],"of":[27,49,76,93,137],"Toyooka":[28],"city,":[29],"Japan,":[30],"where":[31],"many":[32],"people":[33],"visit":[34],"private":[36],"vehicles":[37],"tourism":[39],"seasons,":[40],"which":[41],"causes":[42],"parking":[43],"lot":[44],"issues":[45],"the":[47,50,63,67,71,84,91,94,98,112,117,131,135,142],"center":[48],"town.":[51],"We":[52],"have":[53],"developed":[54],"an":[55],"automatic":[56],"tracking":[58],"system":[59],"that":[60],"can":[61],"measure":[62],"captured":[68],"Using":[70],"and":[73,81,119],"set":[75],"potential":[77],"routes":[78],"between":[79,116],"origin":[80],"destination":[82],"town,":[85],"we":[86,101],"estimate,":[87],"for":[88,129,133],"each":[89],"route,":[90],"volume":[92],"flow":[96],"route.":[99],"Finally,":[100],"generate":[102],"micro-level":[103],"data":[106],"simulator,":[110],"minimizing":[111],"root-mean-square":[113],"error":[114],"(RMSE)":[115],"measured":[118],"generated":[120],"volumes.":[122],"The":[123],"synthesized":[124],"will":[126],"be":[127],"used":[128],"improving":[130],"traffic,":[132],"example,":[134],"adoption":[136],"new":[138],"regulations":[140],"region.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}