{"id":"https://openalex.org/W1591290558","doi":"https://doi.org/10.1109/iccnc.2015.7069359","title":"Vehicle data activity quantification using spatio-temporal GIS on modelling smart cities","display_name":"Vehicle data activity quantification using spatio-temporal GIS on modelling smart cities","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W1591290558","doi":"https://doi.org/10.1109/iccnc.2015.7069359","mag":"1591290558"},"language":"en","primary_location":{"id":"doi:10.1109/iccnc.2015.7069359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccnc.2015.7069359","pdf_url":null,"source":{"id":"https://openalex.org/S4306497949","display_name":"2015 International Conference on Computing, Networking and Communications (ICNC)","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":"2015 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-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/A5112569174","display_name":"Michael Jensen","orcid":null},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Michael Jensen","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044135214","display_name":"Jos\u00e9 Mar\u00eda Guti\u00e9rrez L\u00f3pez","orcid":"https://orcid.org/0000-0001-5257-0556"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jose M. Gutierrez","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034797912","display_name":"Jens Myrup Pedersen","orcid":"https://orcid.org/0000-0002-1903-2921"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jens M. Pedersen","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112569174"],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":1.1111,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85514019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"303","last_page":"307"},"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":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.998199999332428,"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":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.5495100617408752},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.4925025403499603},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4381887912750244},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34381794929504395},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25709423422813416},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1255410611629486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5495100617408752},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4925025403499603},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4381887912750244},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34381794929504395},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25709423422813416},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1255410611629486}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccnc.2015.7069359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccnc.2015.7069359","pdf_url":null,"source":{"id":"https://openalex.org/S4306497949","display_name":"2015 International Conference on Computing, Networking and Communications (ICNC)","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":"2015 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/17e5930a-505b-444a-b222-8b7bb067e077","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/17e5930a-505b-444a-b222-8b7bb067e077","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jensen , M , Gutierrez Lopez , J M &amp; Pedersen , J M 2015 , Vehicle Data Activity Quantification Using Spatio-Temporal GIS on Modelling Smart Cities . in 2015 International Conference on Computing, Networking and Communications (ICNC) . IEEE , Garden Grove, CA, USA , pp. 303- 307 , 2015 International Conference on Computing, Networking and Communications (ICNC) , Garden Grove, CA , United States , 16/02/2015 . https://doi.org/10.1109/ICCNC.2015.7069359","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1552408883","https://openalex.org/W1985205172","https://openalex.org/W2017587999","https://openalex.org/W2031674781","https://openalex.org/W2053008757","https://openalex.org/W2079421249","https://openalex.org/W2080760062","https://openalex.org/W2094745488","https://openalex.org/W2105103777","https://openalex.org/W2114631858","https://openalex.org/W2115552257","https://openalex.org/W2116135393","https://openalex.org/W2155771425","https://openalex.org/W2158524669","https://openalex.org/W2338949667"],"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/W4396696052"],"abstract_inverted_index":{"Smart":[0,105],"Cities":[1],"are":[2,166],"often":[3],"defined":[4],"as":[5],"systems":[6],"of":[7,12,19,47,82,95,131,140],"systems,":[8],"where":[9],"a":[10,79,99,122,137,154,177],"heterogeneity":[11],"digital":[13,32,58,116,159],"services":[14,60,97,133],"oriented":[15,107],"to":[16,25,53,71,91,113,134,144],"the":[17,48,93,145],"well-functioning":[18],"metropolises":[20],"converge.":[21],"It":[22,64],"is":[23,34,39,51,88],"essential":[24],"understand":[26,114],"where,":[27],"when":[28,76],"and":[29,44],"how":[30,52,90,128],"much":[31],"data":[33,83,117,175],"generated,":[35],"since":[36],"upstream":[37],"traffic":[38],"progressively":[40],"growing,":[41],"in":[42,73,119,121,161,176],"volume":[43],"share.":[45],"One":[46],"main":[49],"challenges":[50],"work":[54,72,135],"with":[55,78,103,136],"continuous":[56,74,146],"time":[57,147],"communication":[59],"for":[61,157],"mobile":[62],"entities.":[63,85],"may":[65],"become":[66],"impractical":[67],"or":[68],"even":[69],"infeasible":[70],"time,":[75],"dealing":[77],"large":[80,138],"number":[81,139],"generating":[84],"Moreover,":[86],"it":[87],"unclear":[89],"integrate":[92,151],"contribution":[94],"these":[96],"into":[98,153],"common":[100,155],"framework,":[101],"together":[102],"other":[104],"City":[106],"services.":[108],"This":[109],"integration":[110],"would":[111],"contribute":[112],"distributed":[115],"activity":[118,160],"cities":[120],"holistic":[123],"way.":[124],"Consequently,":[125],"we":[126],"analyze":[127],"different":[129],"ways":[130],"discretizing":[132],"vehicles":[141],"perform,":[142],"compared":[143],"case.":[148],"We":[149],"also":[150],"them":[152],"framework":[156],"quantifying":[158],"metropolitan":[162],"areas.":[163],"The":[164],"experiments":[165],"carried":[167],"out":[168],"using":[169],"empirically":[170],"collected":[171],"spatio-temporal":[172],"vehicle":[173],"positioning":[174],"real":[178],"geographical":[179],"scenario.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
