{"id":"https://openalex.org/W7117316702","doi":"https://doi.org/10.1109/mits.2025.3633692","title":"Urban Vehicle Trajectory Dataset Based on Drone Videos","display_name":"Urban Vehicle Trajectory Dataset Based on Drone Videos","publication_year":2025,"publication_date":"2025-12-26","ids":{"openalex":"https://openalex.org/W7117316702","doi":"https://doi.org/10.1109/mits.2025.3633692"},"language":null,"primary_location":{"id":"doi:10.1109/mits.2025.3633692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2025.3633692","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-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/A5079743152","display_name":"Keke Long","orcid":"https://orcid.org/0000-0002-6887-6135"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keke Long","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA"],"raw_orcid":"https://orcid.org/0000-0002-6887-6135","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121334288","display_name":"Zhaohui Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaohui Liang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121332965","display_name":"Hang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Zhou","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA"],"raw_orcid":"https://orcid.org/0000-0003-3286-341X","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121357400","display_name":"Xiaopeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA"],"raw_orcid":"https://orcid.org/0000-0002-5264-3775","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Wisconsin-Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52637588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"2","first_page":"49","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.39250001311302185,"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":0.39250001311302185,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.1632000058889389,"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/T11133","display_name":"UAV Applications and Optimization","score":0.12939999997615814,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/drone","display_name":"Drone","score":0.9168000221252441},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6843000054359436},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5170999765396118},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.34380000829696655},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.314300000667572},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3124000132083893}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9168000221252441},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6843000054359436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661899983882904},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4968999922275543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4595000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553999900817871},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2025.3633692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2025.3633692","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8158934116363525,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7041180625","display_name":null,"funder_award_id":"2F-60287","funder_id":"https://openalex.org/F4320338284","funder_display_name":"Argonne National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338284","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1627400044","https://openalex.org/W1677409904","https://openalex.org/W2108940052","https://openalex.org/W2603203130","https://openalex.org/W2924873663","https://openalex.org/W2965843888","https://openalex.org/W3118240751","https://openalex.org/W3122939190","https://openalex.org/W4200542399","https://openalex.org/W4221041400","https://openalex.org/W4385380674","https://openalex.org/W4390873407","https://openalex.org/W4396605297","https://openalex.org/W4404812686"],"related_works":[],"abstract_inverted_index":{"Along":[0],"with":[1,72],"the":[2,62,85,90,109,119,123],"advancement":[3],"of":[4,89,114,122,128,133],"lightweight":[5],"sensing":[6],"and":[7,36,45,87,104,130,140,154],"processing":[8],"technologies,":[9],"drones":[10],"become":[11],"powerful":[12],"tools":[13],"for":[14],"traffic":[15,152],"data":[16,143],"collection.":[17],"This":[18,94],"article":[19],"proposes":[20],"a":[21,46,69,126,131],"learning-based":[22],"vehicle":[23,77,137],"tracking":[24],"framework":[25],"from":[26,64],"drone":[27,59],"videos,":[28],"addressing":[29],"key":[30],"challenges":[31],"such":[32],"as":[33],"camera":[34],"instability":[35],"dynamic":[37,41],"lighting":[38,47],"conditions.":[39],"A":[40],"keyframe":[42],"adaptation":[43],"strategy":[44],"mask":[48],"are":[49,144],"incorporated":[50],"to":[51,66,147],"enhance":[52],"robustness.":[53],"The":[54,135],"method":[55],"is":[56,96],"validated":[57],"using":[58],"videos":[60],"covering":[61],"transition":[63],"day":[65],"night":[67],"over":[68],"380-m":[70],"corridor":[71],"three":[73],"intersections.":[74],"Approximately":[75],"5,000":[76],"trajectories":[78],"were":[79],"extracted":[80],"at":[81],"10":[82],"Hz,":[83],"capturing":[84],"formation":[86],"dissipation":[88],"evening":[91],"rush":[92],"hour.":[93],"dataset":[95],"unique":[97],"in":[98,151],"its":[99,115],"duration,":[100],"signal":[101],"timing":[102],"information,":[103],"corridor-level":[105],"coverage,":[106],"making":[107],"it":[108],"first":[110],"publicly":[111,145],"available":[112,146],"resource":[113],"kind.":[116],"Experiments":[117],"demonstrate":[118],"high":[120],"accuracy":[121],"approach,":[124],"achieving":[125],"precision":[127],"0.983":[129],"recall":[132],"0.996.":[134],"labeled":[136],"datasets,":[138],"code,":[139],"resulting":[141],"trajectory":[142],"support":[148],"further":[149],"research":[150],"analysis":[153],"digital":[155],"twin":[156],"systems.":[157]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-26T00:00:00"}