{"id":"https://openalex.org/W2932934298","doi":"https://doi.org/10.1109/bigcomp.2019.8679461","title":"Road Segment Interpolation for Incomplete Road Data","display_name":"Road Segment Interpolation for Incomplete Road Data","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2932934298","doi":"https://doi.org/10.1109/bigcomp.2019.8679461","mag":"2932934298"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5041703913","display_name":"Yuya Sasaki","orcid":"https://orcid.org/0000-0002-8548-3181"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuya Sasaki","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"affiliations":[{"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/A5008395330","display_name":"Jiahao Yu","orcid":"https://orcid.org/0009-0006-0306-0932"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiahao Yu","raw_affiliation_strings":["Graduate School of Information Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108249173","display_name":"Yoshiharu Ishikawa","orcid":"https://orcid.org/0000-0003-1368-7684"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiharu Ishikawa","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041703913"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.4279,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62577678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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":0.7578563690185547},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.707275390625},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.632702648639679},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.629917562007904},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6227349638938904},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.5622105002403259},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5601319074630737},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5397902131080627},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4952913820743561},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4570096433162689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3381563425064087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32167619466781616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12197431921958923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11524465680122375},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.11000984907150269},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.09255713224411011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578563690185547},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.707275390625},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.632702648639679},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.629917562007904},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6227349638938904},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.5622105002403259},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5601319074630737},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5397902131080627},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4952913820743561},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4570096433162689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3381563425064087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32167619466781616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12197431921958923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11524465680122375},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.11000984907150269},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.09255713224411011},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1705505001","https://openalex.org/W2023932096","https://openalex.org/W2031674781","https://openalex.org/W2071091794","https://openalex.org/W2082288635","https://openalex.org/W2097268493","https://openalex.org/W2111961236","https://openalex.org/W2118389488","https://openalex.org/W2125871653","https://openalex.org/W2135822894","https://openalex.org/W2156531019","https://openalex.org/W2166771065","https://openalex.org/W2379958909","https://openalex.org/W2604662095","https://openalex.org/W6637131181","https://openalex.org/W6676755347"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W4386078164","https://openalex.org/W4380150146","https://openalex.org/W2370431274","https://openalex.org/W3010912586","https://openalex.org/W2187159411","https://openalex.org/W2045922748"],"abstract_inverted_index":{"Road":[0],"data":[1,13,30,164],"is":[2,14],"fundamental":[3],"information":[4],"for":[5,123,152],"location-based":[6,26,40],"services.":[7,27],"We":[8,72,112],"trust":[9],"that":[10,88,134,170],"the":[11,25,79,144,150,154,158,175],"road":[12,20,29,55,65,76,86,93,110,139,155,163,177],"complete":[15],"to":[16,35,52,101],"represent":[17],"an":[18,114],"actual":[19],"network":[21],"when":[22],"we":[23,60,105,168],"develop":[24],"However,":[28,95],"may":[31,42,83],"be":[32],"incomplete":[33,162],"due":[34,100],"update":[36,54],"delays,":[37],"and":[38,120,126,148,165],"thus":[39],"services":[41],"not":[43,90],"provide":[44],"useful":[45],"results.":[46],"Several":[47],"algorithms":[48],"have":[49],"been":[50],"proposed":[51],"automatically":[53],"data.":[56,71,94,156],"In":[57],"this":[58],"paper,":[59],"study":[61],"interpolation":[62],"of":[63],"missing":[64,75,138,176],"segments":[66,77,87],"by":[67,146],"using":[68,160],"vehicle":[69],"trajectory":[70,166],"can":[73],"find":[74],"from":[78],"trajectories":[80,96,133,145,151],"because":[81],"vehicles":[82],"pass":[84],"through":[85],"are":[89,97,135],"included":[91],"in":[92],"inherently":[98],"noisy":[99],"GPS":[102],"errors.":[103],"Hence,":[104],"cannot":[106],"easily":[107],"interpolate":[108],"appropriate":[109],"segments.":[111,140,178],"propose":[113],"algorithm":[115,130,172],"based":[116],"on":[117,137],"map":[118],"matching":[119],"clustering":[121],"techniques":[122],"achieving":[124],"accurate":[125],"comprehensive":[127],"interpolation.":[128],"Our":[129],"first":[131],"detects":[132],"probably":[136],"It":[141],"then":[142],"clusters":[143],"DBSCAN":[147],"integrates":[149],"interpolating":[153],"Through":[157],"experiments":[159],"real":[161],"data,":[167],"verify":[169],"our":[171],"effectively":[173],"interpolates":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
