{"id":"https://openalex.org/W2301775944","doi":"https://doi.org/10.1080/15472450.2015.1015847","title":"A Trajectory-Based Map-Matching System for the Driving Road Identification in Vehicle Navigation Systems","display_name":"A Trajectory-Based Map-Matching System for the Driving Road Identification in Vehicle Navigation Systems","publication_year":2015,"publication_date":"2015-05-07","ids":{"openalex":"https://openalex.org/W2301775944","doi":"https://doi.org/10.1080/15472450.2015.1015847","mag":"2301775944"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2015.1015847","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2015.1015847","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of 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/A5100375792","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-2980-6281"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735948","display_name":"Diange Yang","orcid":"https://orcid.org/0000-0002-0074-2448"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dian-ge Yang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426825","display_name":"Jiangtao Li","orcid":"https://orcid.org/0000-0001-7101-0845"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang-tao Li","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100901234","display_name":"Xiaomin Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-min Lian","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Department of Automotive Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100735948"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.1444,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9099701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"162","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9945999979972839,"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/trajectory","display_name":"Trajectory","score":0.7628237009048462},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6727041006088257},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6495855450630188},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.6176047325134277},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6034097671508789},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5955522656440735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5845944881439209},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5566577911376953},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48985621333122253},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3715168833732605},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32307738065719604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2963053584098816},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.26147159934043884},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09226861596107483}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7628237009048462},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6727041006088257},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6495855450630188},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.6176047325134277},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6034097671508789},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5955522656440735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845944881439209},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5566577911376953},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48985621333122253},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3715168833732605},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32307738065719604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2963053584098816},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.26147159934043884},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09226861596107483},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2015.1015847","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2015.1015847","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W62294991","https://openalex.org/W600399363","https://openalex.org/W1566585832","https://openalex.org/W1986497560","https://openalex.org/W1987609545","https://openalex.org/W1997180958","https://openalex.org/W2004509416","https://openalex.org/W2020602155","https://openalex.org/W2051975038","https://openalex.org/W2060793167","https://openalex.org/W2064273929","https://openalex.org/W2078448683","https://openalex.org/W2082585239","https://openalex.org/W2093712076","https://openalex.org/W2110235183","https://openalex.org/W2112199864","https://openalex.org/W2132639462","https://openalex.org/W2142402075","https://openalex.org/W2143021593","https://openalex.org/W2149649617","https://openalex.org/W2151686936","https://openalex.org/W2164466269","https://openalex.org/W2170572553","https://openalex.org/W2333286311","https://openalex.org/W2525255742","https://openalex.org/W2967570265","https://openalex.org/W3122237309","https://openalex.org/W4242378373"],"related_works":["https://openalex.org/W2370431274","https://openalex.org/W2364521460","https://openalex.org/W2385361142","https://openalex.org/W2104082983","https://openalex.org/W2358919855","https://openalex.org/W3010912586","https://openalex.org/W2023784850","https://openalex.org/W2187159411","https://openalex.org/W2056465299","https://openalex.org/W2045922748"],"abstract_inverted_index":{"Driving":[0],"road":[1,24,63,149,184,231],"identification":[2,25,232],"is":[3,26,81,169],"the":[4,36,46,73,85,94,106,111,129,134,146,158,165,172,178,182,187,229,242,255,260],"key":[5],"issue":[6],"of":[7,16,35,38,121,160,211],"a":[8,152,209,222],"vehicle":[9,107,112,122],"navigation":[10],"system":[11,80,91,205,244],"that":[12,54,109,186,241],"supports":[13],"various":[14],"services":[15],"intelligent":[17],"transportation":[18],"systems.":[19],"The":[20,90,118,203,238],"method":[21,135],"for":[22,140],"driving":[23,162,183,230],"also":[27],"known":[28],"as":[29,66],"map":[30,154],"matching":[31,131],"(MM).":[32],"In":[33],"spite":[34],"development":[37],"MM":[39,78,236],"algorithms,":[40],"limitations":[41],"still":[42],"exist":[43],"in":[44,57,59,115,151,157,180,200,216,219,253],"obtaining":[45],"positioning":[47,98],"data":[48,120],"and":[49,68,101,123,142,164,258],"preparing":[50],"candidate":[51],"roads":[52,124,163],"(CRs)":[53],"may":[55],"result":[56],"mismatches":[58],"some":[60],"special":[61],"difficult":[62,256],"configurations":[64],"such":[65],"flyovers":[67],"parallel":[69],"roads.":[70],"To":[71],"overcome":[72],"limitations,":[74],"an":[75,137],"integrated":[76],"trajectory-based":[77,130],"(tbMM)":[79],"proposed":[82],"based":[83],"on":[84],"trajectory":[86,108],"similarity":[87],"evaluation":[88],"method.":[89],"can":[92,191,245],"fuse":[93],"information":[95,190],"from":[96],"global":[97],"systems":[99],"(GPS)":[100],"inertial":[102],"sensors":[103],"to":[104,127,195,227],"generate":[105],"represents":[110],"continuous":[113],"movement":[114],"three":[116],"dimensions.":[117],"elevation":[119],"are":[125,155,174],"involved":[126],"enhance":[128],"process.":[132],"Also":[133,221],"employs":[136],"optimized":[138],"mechanism":[139],"generating":[141],"maintaining":[143],"CRs.":[144],"Using":[145],"mechanism,":[147],"separated":[148],"segments":[150],"digital":[153],"reorganized":[156],"form":[159],"possible":[161],"topology":[166],"among":[167],"them":[168],"guaranteed.":[170],"Moreover,":[171],"CRs":[173],"obtained":[175],"considering":[176],"all":[177,254],"possibilities":[179],"determining":[181],"so":[185],"valuable":[188],"historical":[189],"be":[192],"effectively":[193],"reserved":[194],"provide":[196,246],"more":[197],"reliable":[198,247],"matches":[199,248],"ambiguous":[201],"situations.":[202],"tbMM":[204,243],"was":[206,225],"evaluated":[207],"using":[208],"number":[210],"real-world":[212],"vehicle-level":[213],"test":[214,224],"datasets":[215],"urban":[217],"areas":[218],"Beijing.":[220],"comparison":[223],"performed":[226],"evaluate":[228],"accuracy":[233,252],"against":[234],"existing":[235,261],"algorithms.":[237,262],"results":[239],"show":[240],"with":[249],"about":[250],"99%":[251],"scenarios":[257],"outperforms":[259]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}