{"id":"https://openalex.org/W4392280440","doi":"https://doi.org/10.48550/arxiv.2402.16246","title":"Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices","display_name":"Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices","publication_year":2024,"publication_date":"2024-02-26","ids":{"openalex":"https://openalex.org/W4392280440","doi":"https://doi.org/10.48550/arxiv.2402.16246"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.16246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.16246","pdf_url":"https://arxiv.org/pdf/2402.16246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.16246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101738233","display_name":"Yuan Zhu","orcid":"https://orcid.org/0009-0000-3948-1989"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhu, Yuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017847516","display_name":"Yanqiang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yanqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113130063","display_name":"Yadong An","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"An, Yadong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039644141","display_name":"Hong Yang","orcid":"https://orcid.org/0000-0003-2808-8852"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102209299","display_name":"Yiming Pan","orcid":"https://orcid.org/0000-0001-9205-4054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan, Yiming","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101738233"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8425999879837036,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8425999879837036,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.805400013923645,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7851999998092651,"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/computer-science","display_name":"Computer science","score":0.5824007987976074},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4386555552482605},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.43301165103912354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1820734739303589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824007987976074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4386555552482605},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.43301165103912354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1820734739303589}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2402.16246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.16246","pdf_url":"https://arxiv.org/pdf/2402.16246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2402.16246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.16246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.16246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.16246","pdf_url":"https://arxiv.org/pdf/2402.16246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"This":[0,123],"paper":[1],"focuses":[2],"on":[3,15,46,148],"a":[4],"real-time":[5,85,113],"vehicle":[6,99],"detection":[7,40,101],"and":[8,29,34,41,58,73,77,84,91,107,111,130,143,160,163,176],"urban":[9],"traffic":[10,20,27,55,79,86,136,144,157,174],"behavior":[11,87,145],"analysis":[12,88,146],"system":[13],"based":[14],"Unmanned":[16],"Aerial":[17],"Vehicle":[18],"(UAV)":[19],"video.":[21],"By":[22],"using":[23],"UAV":[24],"to":[25,66,134,167],"collect":[26],"data":[28,56,161],"combining":[30],"the":[31,38,47,52,60,68,75,82,98,112,169],"YOLOv8":[32],"model":[33],"SORT":[35],"tracking":[36,42],"algorithm,":[37],"object":[39,100,139,141],"functions":[43,147],"are":[44],"implemented":[45],"iOS":[48,128],"mobile":[49,149],"platform.":[50],"For":[51],"problem":[53],"of":[54,81,171],"acquisition":[57],"analysis,":[59,162],"dynamic":[61],"computing":[62],"method":[63],"is":[64,89,116],"used":[65],"process":[67],"performance":[69],"in":[70],"real":[71],"time":[72],"calculate":[74],"micro":[76],"macro":[78],"parameters":[80],"vehicles,":[83],"conducted":[90],"visualized.":[92],"The":[93],"experiment":[94],"results":[95],"reveals":[96],"that":[97],"can":[102],"reach":[103],"98.27%":[104],"precision":[105],"rate":[106],"87.93%":[108],"recall":[109],"rate,":[110],"processing":[114],"capacity":[115],"stable":[117],"at":[118],"30":[119],"frames":[120],"per":[121],"seconds.":[122],"work":[124],"integrates":[125],"drone":[126],"technology,":[127],"development,":[129],"deep":[131],"learning":[132],"techniques":[133],"integrate":[135],"video":[137],"acquisition,":[138],"detection,":[140],"tracking,":[142],"devices.":[150],"It":[151],"provides":[152],"new":[153],"possibilities":[154],"for":[155,180],"lightweight":[156],"information":[158],"collection":[159],"offers":[164],"innovative":[165],"solutions":[166],"improve":[168],"efficiency":[170],"analyzing":[172],"road":[173],"conditions":[175],"addressing":[177],"transportation":[178,181],"issues":[179],"authorities.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
