{"id":"https://openalex.org/W3092594866","doi":"https://doi.org/10.1186/s40537-020-00358-x","title":"Real-time monitoring of traffic parameters","display_name":"Real-time monitoring of traffic parameters","publication_year":2020,"publication_date":"2020-10-06","ids":{"openalex":"https://openalex.org/W3092594866","doi":"https://doi.org/10.1186/s40537-020-00358-x","mag":"3092594866"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00358-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00358-x","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00358-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00358-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037811255","display_name":"Kirill Khazukov","orcid":null},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Kirill Khazukov","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063851353","display_name":"Vladimir Shepelev","orcid":"https://orcid.org/0000-0002-1143-2031"},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Shepelev","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":"https://orcid.org/0000-0002-1143-2031","affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028962318","display_name":"Tatiana Karpeta","orcid":"https://orcid.org/0000-0001-5079-5970"},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Tatiana Karpeta","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076568439","display_name":"S G Shabiev","orcid":"https://orcid.org/0000-0001-9405-2079"},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Salavat Shabiev","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004137570","display_name":"Ivan Slobodin","orcid":null},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Slobodin","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082832013","display_name":"Irakli Charbadze","orcid":null},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irakli Charbadze","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008063275","display_name":"Irina Alferova","orcid":"https://orcid.org/0000-0001-8484-8129"},"institutions":[{"id":"https://openalex.org/I107640659","display_name":"South Ural State University","ror":"https://ror.org/03sfk2504","country_code":"RU","type":"education","lineage":["https://openalex.org/I107640659"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irina Alferova","raw_affiliation_strings":["South Ural State University, Chelyabinsk, 454080, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South Ural State University, Chelyabinsk, 454080, Russia","institution_ids":["https://openalex.org/I107640659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037811255"],"corresponding_institution_ids":["https://openalex.org/I107640659"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":4.242,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94361261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13527","display_name":"Transportation Systems and Logistics","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13527","display_name":"Transportation Systems and Logistics","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13732","display_name":"Aerospace, Electronics, Mathematical Modeling","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13181","display_name":"Economic and Technological Systems Analysis","score":0.9391000270843506,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7939659357070923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.585444450378418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5189080834388733},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5183059573173523},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5116236805915833},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4664798378944397},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.45469656586647034},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.45095932483673096},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4423353672027588},{"id":"https://openalex.org/keywords/geographic-coordinate-system","display_name":"Geographic coordinate system","score":0.4150935709476471},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.409803569316864},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.341225266456604},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.1111135482788086},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1029295027256012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08684754371643066},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08611679077148438},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08211150765419006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939659357070923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.585444450378418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189080834388733},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5183059573173523},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5116236805915833},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4664798378944397},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.45469656586647034},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.45095932483673096},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4423353672027588},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.4150935709476471},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.409803569316864},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.341225266456604},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.1111135482788086},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1029295027256012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08684754371643066},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08611679077148438},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08211150765419006},{"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/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00358-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00358-x","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00358-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0666307e04e446029bb8bc7267091848","is_oa":true,"landing_page_url":"https://doaj.org/article/0666307e04e446029bb8bc7267091848","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-20 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00358-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00358-x","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00358-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092594866.pdf","grobid_xml":"https://content.openalex.org/works/W3092594866.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1803878298","https://openalex.org/W1996735906","https://openalex.org/W2105934661","https://openalex.org/W2111200408","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2587008894","https://openalex.org/W2736691214","https://openalex.org/W2742615629","https://openalex.org/W2779893254","https://openalex.org/W2781941753","https://openalex.org/W2783606813","https://openalex.org/W2795812085","https://openalex.org/W2796347433","https://openalex.org/W2798930779","https://openalex.org/W2801303340","https://openalex.org/W2891209073","https://openalex.org/W2911466075","https://openalex.org/W2911679466","https://openalex.org/W2912550626","https://openalex.org/W2936789839","https://openalex.org/W2962854645","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963242746","https://openalex.org/W2963260376","https://openalex.org/W2963351448","https://openalex.org/W2964933785","https://openalex.org/W2983538017","https://openalex.org/W2988186958","https://openalex.org/W3104218139","https://openalex.org/W3105706944","https://openalex.org/W3106250896","https://openalex.org/W3114753236","https://openalex.org/W3149044803","https://openalex.org/W4241320620"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W2022231341","https://openalex.org/W1805912688","https://openalex.org/W2953625540","https://openalex.org/W4255476312","https://openalex.org/W1517731502","https://openalex.org/W1989000713","https://openalex.org/W2356156292","https://openalex.org/W2389935630"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2,64],"deals":[3],"with":[4],"the":[5,13,19,35,43,53,63,90,93,98,111,122,125,136,171,177,190,198,204,210,226,230,236],"problem":[6],"of":[7,37,58,62,70,75,102,124,153,160,173,184,187,197,214,217],"rea-time":[8],"obtaining":[9],"quality":[10],"data":[11,51,94],"on":[12,18,34,52,121],"road":[14,28,106],"traffic":[15,29,38,80],"parameters":[16],"based":[17,33,120],"static":[20],"street":[21,112],"video":[22,113],"surveillance":[23,114],"camera":[24,115,237],"data.":[25],"The":[26,60,157,222],"existing":[27],"monitoring":[30],"solutions":[31],"are":[32],"use":[36,123],"cameras":[39],"located":[40],"directly":[41],"above":[42],"carriageways,":[44],"which":[45,108,146],"allows":[46],"one":[47],"to":[48,66,149,193],"obtain":[49],"fragmentary":[50],"speed":[54,228],"and":[55,72,85,104,130,143,169,202],"movement":[56],"pattern":[57],"vehicles.":[59,156],"purpose":[61],"is":[65,95,119],"develop":[67],"a":[68,151,182],"system":[69,199],"high-quality":[71],"complete":[73],"collection":[74],"real-time":[76],"data,":[77],"such":[78],"as":[79],"flow":[81],"intensity,":[82],"driving":[83],"directions,":[84],"average":[86],"vehicle":[87,178,215,227],"speed.":[88],"At":[89],"same":[91],"time,":[92],"collected":[96],"within":[97,110],"entire":[99],"functional":[100],"area":[101],"intersections":[103,208],"adjacent":[105],"sections,":[107],"fall":[109],"angle.":[116],"Our":[117],"solution":[118],"YOLOv3":[126],"neural":[127,137],"network":[128],"architecture":[129],"SORT":[131],"open-source":[132],"tracker.":[133],"To":[134,175],"train":[135],"network,":[138],"we":[139,180],"marked":[140],"6000":[141],"images":[142],"performed":[144],"augmentation,":[145],"allowed":[147],"us":[148],"form":[150],"dataset":[152],"4.3":[154],"million":[155],"basic":[158],"performance":[159],"YOLO":[161],"was":[162],"improved":[163],"using":[164],"an":[165],"additional":[166],"mask":[167],"branch":[168],"optimizing":[170],"shape":[172],"anchors.":[174],"determine":[176],"speed,":[179],"used":[181],"method":[183],"perspective":[185],"transformation":[186],"coordinates":[188],"from":[189],"original":[191],"image":[192],"geographical":[194],"coordinates.":[195],"Testing":[196],"at":[200,206],"night":[201],"in":[203,224],"daytime":[205],"six":[207],"showed":[209],"absolute":[211],"percentage":[212],"accuracy":[213],"counting,":[216],"no":[218],"less":[219],"than":[220],"92%.":[221],"error":[223],"determining":[225],"by":[229],"projection":[231],"method,":[232],"taking":[233],"into":[234],"account":[235],"calibration,":[238],"did":[239],"not":[240],"exceed":[241],"1.5":[242],"km/h.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-23T23:15:26.331081","created_date":"2025-10-10T00:00:00"}
