{"id":"https://openalex.org/W3006961158","doi":"https://doi.org/10.3390/s20051258","title":"Vehicle Trajectory Prediction Method Based on License Plate Information Obtained from Video-Imaging Detectors in Urban Road Environment","display_name":"Vehicle Trajectory Prediction Method Based on License Plate Information Obtained from Video-Imaging Detectors in Urban Road Environment","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3006961158","doi":"https://doi.org/10.3390/s20051258","mag":"3006961158","pmid":"https://pubmed.ncbi.nlm.nih.gov/32106605"},"language":"en","primary_location":{"id":"doi:10.3390/s20051258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051258","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1258/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/5/1258/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459088","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0002-0071-3030"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China"],"raw_orcid":"https://orcid.org/0000-0002-0071-3030","affiliations":[{"raw_affiliation_string":"College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683202","display_name":"Haiqing Liu","orcid":"https://orcid.org/0000-0003-0713-9315"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiqing Liu","raw_affiliation_strings":["College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024607547","display_name":"Laxmisha Rai","orcid":"https://orcid.org/0000-0003-1494-1138"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laxmisha Rai","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China"],"raw_orcid":"https://orcid.org/0000-0003-1494-1138","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084159477","display_name":"Siyi Zhang","orcid":"https://orcid.org/0000-0003-4834-6839"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyi Zhang","raw_affiliation_strings":["College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100683202"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5654,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.81198028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"5","first_page":"1258","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9941999912261963,"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/trajectory","display_name":"Trajectory","score":0.7096689939498901},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.6624877452850342},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.6332665085792542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831059813499451},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.44815170764923096},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4373425841331482},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4141283631324768},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3653266429901123},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.34576404094696045},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3295307755470276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3270954489707947},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2853667140007019},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2845558226108551},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.19892841577529907}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7096689939498901},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.6624877452850342},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.6332665085792542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831059813499451},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.44815170764923096},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4373425841331482},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4141283631324768},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3653266429901123},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.34576404094696045},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3295307755470276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3270954489707947},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2853667140007019},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2845558226108551},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.19892841577529907},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20051258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051258","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1258/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:32106605","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32106605","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:68a0970900e6496795b48b1c5cd3d465","is_oa":false,"landing_page_url":"https://doaj.org/article/68a0970900e6496795b48b1c5cd3d465","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 5, p 1258 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/5/1258/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20051258","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7085739","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7085739","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20051258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051258","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1258/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6362091346","display_name":null,"funder_award_id":"ZR2019QF017","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3006961158.pdf","grobid_xml":"https://content.openalex.org/works/W3006961158.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1922016867","https://openalex.org/W1995257785","https://openalex.org/W2053905607","https://openalex.org/W2183679353","https://openalex.org/W2497588014","https://openalex.org/W2520225835","https://openalex.org/W2535805784","https://openalex.org/W2766237626","https://openalex.org/W2786358656","https://openalex.org/W2786875762","https://openalex.org/W2795104922","https://openalex.org/W2800086172","https://openalex.org/W2808448224","https://openalex.org/W2883955855","https://openalex.org/W2884735165","https://openalex.org/W2885639700","https://openalex.org/W2887504551","https://openalex.org/W2891786175","https://openalex.org/W2897859929","https://openalex.org/W2900992689","https://openalex.org/W2908678806","https://openalex.org/W2912845940","https://openalex.org/W2945421371","https://openalex.org/W2954160473","https://openalex.org/W2954616501","https://openalex.org/W6726586010","https://openalex.org/W6757633555"],"related_works":["https://openalex.org/W2606446052","https://openalex.org/W2036021480","https://openalex.org/W3195777957","https://openalex.org/W2382668227","https://openalex.org/W2348482143","https://openalex.org/W2024584030","https://openalex.org/W3104168426","https://openalex.org/W1603675680","https://openalex.org/W2343406053","https://openalex.org/W1983668675"],"abstract_inverted_index":{"The":[0,163,183,207],"vehicle":[1,16,28,41,58,97,128,149,179],"license":[2,42,98,180],"plate":[3,43,181],"data":[4,44,91,205],"obtained":[5],"from":[6,40],"video-imaging":[7],"detectors":[8],"contains":[9],"a":[10,26,100,127,132,138,147,172],"huge":[11],"volume":[12,140],"of":[13,15,66,70,76,126,141,160,193],"information":[14,54],"trip":[17,37,59,86,101,143],"rules":[18,38],"and":[19,74,84,169],"driving":[20,52],"behavior":[21],"characteristics.":[22],"In":[23,78],"this":[24],"paper,":[25],"real-time":[27],"trajectory":[29,150,214],"prediction":[30,151,197],"method":[31,104,165,209],"is":[32,61,92,110,119,135,153,166],"proposed":[33,154,208],"based":[34,105],"on":[35,63,106],"historical":[36,142,203],"extracted":[39],"in":[45,88,94,171,213],"an":[46,82,190],"urban":[47],"road":[48,72,174],"environment.":[49],"Using":[50],"the":[51,57,64,67,71,95,107,113,123,157],"status":[53],"at":[55],"intersections,":[56],"chain":[60,87,102,144],"acquired":[62],"basis":[65],"topologic":[68],"graph":[69],"network":[73],"channelization":[75],"intersections.":[77,162],"order":[79],"to":[80,121,155],"obtain":[81,156],"integral":[83],"continuous":[85],"cases":[89],"where":[90],"missing":[93],"original":[96],"plate,":[99],"compensation":[103],"Dijkstra":[108],"algorithm":[109],"presented.":[111],"Moreover,":[112],"turning":[114,124],"state":[115],"transition":[116],"matrix":[117],"which":[118],"used":[120],"describe":[122],"probability":[125],"when":[129,198],"it":[130],"passes":[131],"certain":[133],"intersection":[134],"calculated":[136],"by":[137],"massive":[139],"data.":[145,182],"Finally,":[146],"k-step":[148],"model":[152],"maximum":[158],"possibility":[159],"downstream":[161],"overall":[164],"thoroughly":[167],"tested":[168],"demonstrated":[170],"realistic":[173],"traffic":[175],"scenario":[176],"with":[177],"actual":[178],"results":[184],"show":[185],"that":[186],"vehicles":[187],"can":[188],"reach":[189],"average":[191],"accuracy":[192],"0.72":[194],"for":[195],"one-step":[196],"there":[199],"are":[200],"only":[201],"200":[202],"training":[204],"samples.":[206],"presents":[210],"significant":[211],"performance":[212],"prediction.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}