{"id":"https://openalex.org/W2176629631","doi":"https://doi.org/10.3390/ijgi4042660","title":"Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Na\u00efve Bayesian Classification","display_name":"Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Na\u00efve Bayesian Classification","publication_year":2015,"publication_date":"2015-11-26","ids":{"openalex":"https://openalex.org/W2176629631","doi":"https://doi.org/10.3390/ijgi4042660","mag":"2176629631"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi4042660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi4042660","pdf_url":"https://www.mdpi.com/2220-9964/4/4/2660/pdf?version=1448539997","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/4/4/2660/pdf?version=1448539997","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076702960","display_name":"Luliang Tang","orcid":"https://orcid.org/0000-0003-3523-8994"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luliang Tang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0003-3523-8994","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047013658","display_name":"Xue Yang","orcid":"https://orcid.org/0000-0001-8182-9504"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Yang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":"https://orcid.org/0000-0001-8182-9504","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039749587","display_name":"Zihan Kan","orcid":"https://orcid.org/0000-0002-6364-0537"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Kan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China","State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047013658"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":6.0328,"has_fulltext":true,"cited_by_count":53,"citation_normalized_percentile":{"value":0.95775517,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"4","issue":"4","first_page":"2660","last_page":"2680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9954000115394592,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6832083463668823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6756966710090637},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5374321341514587},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5264162421226501},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.49181345105171204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47093167901039124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4379716217517853},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4342249035835266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34249788522720337}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6832083463668823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756966710090637},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5374321341514587},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5264162421226501},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.49181345105171204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47093167901039124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4379716217517853},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4342249035835266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34249788522720337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi4042660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi4042660","pdf_url":"https://www.mdpi.com/2220-9964/4/4/2660/pdf?version=1448539997","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1c90aaf72fa430ea5791c6a52e5340f","is_oa":true,"landing_page_url":"https://doaj.org/article/b1c90aaf72fa430ea5791c6a52e5340f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2660-2680 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/4/4/2660/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/ijgi4042660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi4042660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi4042660","pdf_url":"https://www.mdpi.com/2220-9964/4/4/2660/pdf?version=1448539997","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2529081389","display_name":null,"funder_award_id":"41271442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2836178856","display_name":null,"funder_award_id":"No. 41571430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G437616428","display_name":null,"funder_award_id":"41571430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7609112654","display_name":null,"funder_award_id":"40801155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2176629631.pdf","grobid_xml":"https://content.openalex.org/works/W2176629631.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W148307259","https://openalex.org/W578585133","https://openalex.org/W1536861392","https://openalex.org/W1544411027","https://openalex.org/W1589875619","https://openalex.org/W1670904102","https://openalex.org/W1705505001","https://openalex.org/W1920183122","https://openalex.org/W1978001031","https://openalex.org/W1981398125","https://openalex.org/W1981960581","https://openalex.org/W1983262728","https://openalex.org/W1989750313","https://openalex.org/W2004989615","https://openalex.org/W2012580531","https://openalex.org/W2036569611","https://openalex.org/W2052794186","https://openalex.org/W2064954028","https://openalex.org/W2072244729","https://openalex.org/W2088796121","https://openalex.org/W2091821803","https://openalex.org/W2113556050","https://openalex.org/W2115551553","https://openalex.org/W2134089414","https://openalex.org/W2136756158","https://openalex.org/W2140251882","https://openalex.org/W2141633817","https://openalex.org/W2141945705","https://openalex.org/W2144194027","https://openalex.org/W2150495678","https://openalex.org/W2159132531","https://openalex.org/W2168791259","https://openalex.org/W2170178366","https://openalex.org/W2373736282","https://openalex.org/W3098371818","https://openalex.org/W6632530909","https://openalex.org/W6640117558","https://openalex.org/W6646283514","https://openalex.org/W6666902088","https://openalex.org/W6668366320","https://openalex.org/W6681231023"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W3204225186","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W253106158","https://openalex.org/W2384744344","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4318818647"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,76],"novel":[6],"approach":[7],"for":[8],"mining":[9],"lane-level":[10,162],"road":[11,87,90,163,178],"network":[12,164],"information":[13,165],"from":[14,49],"low-precision":[15],"vehicle":[16],"GPS":[17,52,141,148],"trajectories":[18,53,149],"(MLIT),":[19],"which":[20],"includes":[21],"the":[22,36,50,65,82,86,93,101,108,118,123,133,147,159,181],"number":[23,66,95,109,182],"and":[24,59,89,92,185],"turn":[25,134,186],"rules":[26,135,187],"of":[27,67,85,96,110,127,136,150,170,175,183,188],"traffic":[28],"lanes":[29,68,111,184],"based":[30,54],"on":[31,55],"na\u00efve":[32,77,119],"Bayesian":[33,78,120],"classification.":[34],"First,":[35],"proposed":[37],"method":[38,45],"(MLIT)":[39],"uses":[40],"an":[41],"adaptive":[42],"density":[43,60],"optimization":[44],"to":[46,81,117,168],"remove":[47],"outliers":[48],"raw":[51],"their":[56],"space-time":[57],"distribution":[58],"clustering.":[61],"Second,":[62],"MLIT":[63,131],"acquires":[64],"in":[69,100,115,152,173],"two":[70],"steps.":[71],"The":[72,104],"first":[73],"step":[74,106],"establishes":[75],"classifier":[79,121],"according":[80],"trace":[83,125],"features":[84,126],"plane":[88],"profiles":[91],"real":[94],"lanes,":[97],"as":[98],"found":[99],"training":[102],"samples.":[103],"second":[105],"confirms":[107],"using":[112,122,146],"test":[113,128],"samples":[114],"reference":[116],"known":[124],"sample.":[129],"Third,":[130],"infers":[132],"each":[137,189],"lane":[138],"through":[139],"tracking":[140],"trajectories.":[142],"Experiments":[143],"were":[144],"conducted":[145],"taxis":[151],"Wuhan,":[153],"China.":[154],"Compared":[155],"with":[156,180],"human-interpreted":[157],"results,":[158],"automatically":[160],"generated":[161],"was":[166],"demonstrated":[167],"be":[169],"higher":[171],"quality":[172],"terms":[174],"displaying":[176],"detailed":[177],"networks":[179],"lane.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}
