{"id":"https://openalex.org/W2085234095","doi":"https://doi.org/10.1109/itsc.2010.5625177","title":"Requirements and potential of GPS-based floating car data for traffic management: Stockholm case study","display_name":"Requirements and potential of GPS-based floating car data for traffic management: Stockholm case study","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2085234095","doi":"https://doi.org/10.1109/itsc.2010.5625177","mag":"2085234095"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2010.5625177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","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/A5070534985","display_name":"Mahmood Rahmani","orcid":"https://orcid.org/0000-0001-8750-8242"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mahmood Rahmani","raw_affiliation_strings":["Department of Transport and Economics, KTH, Royal Institute of Technology, Stockholm, Sweden","Department of Transport and Economics, The Royal Institute of Technology, KTH. Teknikringen 72 SE - 100 44 Stockholm, SWEDEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transport and Economics, KTH, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Transport and Economics, The Royal Institute of Technology, KTH. Teknikringen 72 SE - 100 44 Stockholm, SWEDEN","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009464945","display_name":"Haris N. Koutsopoulos","orcid":"https://orcid.org/0000-0003-3830-9794"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Haris N. Koutsopoulos","raw_affiliation_strings":["Department of Transport and Economics, KTH, Royal Institute of Technology, Stockholm, Sweden","Department of Transport and Economics, The Royal Institute of Technology, KTH. Teknikringen 72 SE - 100 44 Stockholm, SWEDEN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transport and Economics, KTH, Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Transport and Economics, The Royal Institute of Technology, KTH. Teknikringen 72 SE - 100 44 Stockholm, SWEDEN","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110500429","display_name":"Anand Ranganathan","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Ranganathan","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, NY, USA","IBM TJ Watson Research Center, 19 Skyline drive, Hawthorne, NY 10532, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM TJ Watson Research Center, 19 Skyline drive, Hawthorne, NY 10532, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4761,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94940543,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"730","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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":0.989799976348877,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.989799976348877,"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/global-positioning-system","display_name":"Global Positioning System","score":0.8407037258148193},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6740418672561646},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6317518353462219},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5518411993980408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5321307182312012},{"id":"https://openalex.org/keywords/expansive","display_name":"Expansive","score":0.45506781339645386},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4526888132095337},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4440380334854126},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3209441304206848},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.29666659235954285},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2292470932006836},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.19802919030189514}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.8407037258148193},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6740418672561646},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6317518353462219},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5518411993980408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5321307182312012},{"id":"https://openalex.org/C2780502288","wikidata":"https://www.wikidata.org/wiki/Q28838156","display_name":"Expansive","level":3,"score":0.45506781339645386},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4526888132095337},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4440380334854126},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3209441304206848},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.29666659235954285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2292470932006836},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.19802919030189514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C30407753","wikidata":"https://www.wikidata.org/wiki/Q186191","display_name":"Compressive strength","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2010.5625177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320327853","display_name":"Trafikverket","ror":"https://ror.org/000nes056"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W596434820","https://openalex.org/W634836346","https://openalex.org/W1249401278","https://openalex.org/W1560735964","https://openalex.org/W1692590824","https://openalex.org/W1827384124","https://openalex.org/W2003272624","https://openalex.org/W2088061407","https://openalex.org/W2095259340","https://openalex.org/W2107761673","https://openalex.org/W2128362607","https://openalex.org/W2159844592","https://openalex.org/W2166771065","https://openalex.org/W2364981588","https://openalex.org/W4239406378","https://openalex.org/W6620346474","https://openalex.org/W6628041156","https://openalex.org/W6633629046","https://openalex.org/W6707652180"],"related_works":["https://openalex.org/W3207631643","https://openalex.org/W4300921257","https://openalex.org/W4298284054","https://openalex.org/W2271765275","https://openalex.org/W2964116984","https://openalex.org/W2910590812","https://openalex.org/W1571623370","https://openalex.org/W4302368440","https://openalex.org/W2963590921","https://openalex.org/W1976491401"],"abstract_inverted_index":{"The":[0,39,90],"application":[1],"of":[2,27,35,44,71,84],"GPS":[3,50],"probes":[4],"in":[5,19,21],"traffic":[6,54,59,72],"management":[7],"is":[8,17,102,106],"growing":[9],"rapidly":[10],"as":[11,86],"the":[12,36,42,69,82,110],"required":[13],"data":[14,57,120],"collection":[15],"infrastructure":[16],"increasingly":[18],"place":[20],"urban":[22],"areas":[23,34],"with":[24,118],"significant":[25],"number":[26],"mobile":[28],"sensors":[29],"moving":[30],"around":[31],"covering":[32],"expansive":[33],"road":[37],"network.":[38],"paper":[40],"presents":[41,65],"development":[43],"a":[45,87],"laboratory":[46],"designed":[47],"to":[48,67,108],"explore":[49],"and":[51,55,61,112],"other":[52,122],"emerging":[53],"traffic-related":[56],"for":[58],"monitoring":[60],"control.":[62],"It":[63],"also":[64],"results":[66],"illustrate":[68],"scope":[70],"information":[73],"that":[74,94],"can":[75],"be":[76],"provided":[77],"by":[78],"GPS-based":[79],"data,":[80,111],"using":[81],"city":[83],"Stockholm":[85],"case":[88],"study.":[89],"preliminary":[91],"analysis":[92],"shows":[93],"network":[95],"coverage,":[96],"especially":[97],"during":[98],"peak":[99],"weekday":[100],"hours,":[101],"adequate.":[103],"Further":[104],"investigation":[105],"needed":[107],"validate":[109],"increase":[113],"its":[114],"value":[115],"through":[116],"fusion":[117],"complementary":[119],"from":[121],"sources.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}