{"id":"https://openalex.org/W2804508694","doi":"https://doi.org/10.1109/icnsc.2018.8361315","title":"An advanced interactive-voting based map matching algorithm for low-sampling-rate GPS data","display_name":"An advanced interactive-voting based map matching algorithm for low-sampling-rate GPS data","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2804508694","doi":"https://doi.org/10.1109/icnsc.2018.8361315","mag":"2804508694"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2018.8361315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2018.8361315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC)","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/A5048067916","display_name":"Yaying Zhang","orcid":"https://orcid.org/0000-0001-9552-3274"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaying Zhang","raw_affiliation_strings":["Key Laboratory of Embeded Sytems and Service Computing Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embeded Sytems and Service Computing Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103921277","display_name":"Yulong He","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong He","raw_affiliation_strings":["Key Laboratory of Embeded Sytems and Service Computing Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Embeded Sytems and Service Computing Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048067916"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.9419,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76356851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9975000023841858,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9927999973297119,"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/map-matching","display_name":"Map matching","score":0.8741626739501953},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.746992826461792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7436262369155884},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6349295973777771},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5536754131317139},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.5157206654548645},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4969775974750519},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4906529486179352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4785614311695099},{"id":"https://openalex.org/keywords/inefficiency","display_name":"Inefficiency","score":0.43192416429519653},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.420200377702713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36247652769088745},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20457178354263306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12866941094398499},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07962080836296082}],"concepts":[{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.8741626739501953},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.746992826461792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7436262369155884},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6349295973777771},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5536754131317139},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.5157206654548645},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4969775974750519},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4906529486179352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4785614311695099},{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.43192416429519653},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.420200377702713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36247652769088745},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20457178354263306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12866941094398499},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07962080836296082},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2018.8361315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2018.8361315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W54893867","https://openalex.org/W1514900972","https://openalex.org/W1796251476","https://openalex.org/W1854858186","https://openalex.org/W1953838480","https://openalex.org/W1977855294","https://openalex.org/W2031346385","https://openalex.org/W2031674781","https://openalex.org/W2078240650","https://openalex.org/W2078448683","https://openalex.org/W2094283130","https://openalex.org/W2135822894","https://openalex.org/W2137224828","https://openalex.org/W2143021593","https://openalex.org/W2166771065","https://openalex.org/W2171664275","https://openalex.org/W2189139187","https://openalex.org/W2196070803","https://openalex.org/W2239838331","https://openalex.org/W2348731832","https://openalex.org/W3098371818","https://openalex.org/W4239318254"],"related_works":["https://openalex.org/W2370431274","https://openalex.org/W3010912586","https://openalex.org/W2187159411","https://openalex.org/W2385361142","https://openalex.org/W2072233801","https://openalex.org/W2355368494","https://openalex.org/W2045922748","https://openalex.org/W2369446480","https://openalex.org/W1978196306","https://openalex.org/W2394298518"],"abstract_inverted_index":{"The":[0,69,95,149],"availability":[1],"of":[2,65,111],"GPS":[3,27,67,119],"data":[4,64],"from":[5],"in-vehicle":[6],"devices":[7],"has":[8],"greatly":[9],"enriched":[10],"the":[11,25,39,46,87,109,112,116,134],"location":[12],"based":[13,59],"system":[14],"applications,":[15],"in":[16,93,97,153],"which":[17],"map":[18,30,56,136],"matching":[19,31,57,137],"plays":[20],"an":[21,54],"important":[22],"role.":[23],"For":[24],"low-sampling-rate":[26,63],"data,":[28],"existing":[29],"algorithms":[32],"would":[33],"have":[34],"many":[35],"challenges":[36],"such":[37],"as":[38],"high":[40],"error":[41],"rate":[42],"and":[43,78,156],"inefficiency":[44],"on":[45,60,115],"complex":[47],"urban":[48],"road":[49,79],"network.":[50],"This":[51],"paper":[52],"presents":[53],"advanced":[55],"algorithm":[58,70,99,142,151],"interactive-voting":[61],"for":[62],"taxi":[66],"trajectories.":[68],"employs":[71],"spatial":[72],"analysis":[73,76,80],"function,":[74,77],"temporal":[75],"function":[81],"with":[82],"two":[83],"constraints":[84,96],"to":[85,132],"measure":[86],"relationship":[88],"between":[89,118],"consecutive":[90],"candidate":[91,129],"points":[92],"map-matching.":[94],"our":[98,141],"not":[100],"only":[101],"reduce":[102],"much":[103],"computation":[104],"but":[105],"also":[106],"significantly":[107],"improve":[108],"accuracy":[110,155],"algorithm.":[113],"Based":[114],"interaction":[117],"sampling":[120],"points,":[121],"we":[122],"propose":[123],"a":[124,144],"novel":[125],"voting":[126,131],"method":[127],"called":[128],"edge":[130],"get":[133],"best":[135],"result.":[138],"We":[139],"evaluate":[140],"using":[143],"one-month":[145],"real-world":[146],"trajectory":[147],"dataset.":[148],"proposed":[150],"outperforms":[152],"both":[154],"efficiency.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}