{"id":"https://openalex.org/W2001245070","doi":"https://doi.org/10.1080/10248070008903775","title":"Collection of Vehicle Activity Data by Video Detection for Use in Transportation Planning","display_name":"Collection of Vehicle Activity Data by Video Detection for Use in Transportation Planning","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2001245070","doi":"https://doi.org/10.1080/10248070008903775","mag":"2001245070"},"language":"en","primary_location":{"id":"doi:10.1080/10248070008903775","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248070008903775","pdf_url":null,"source":{"id":"https://openalex.org/S136111043","display_name":"ITS Journal - Intelligent Transportation Systems Journal","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ITS Journal - Intelligent Transportation Systems Journal","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/A5076354306","display_name":"Christopher D. Grant","orcid":null},"institutions":[{"id":"https://openalex.org/I84475105","display_name":"Embry\u2013Riddle Aeronautical University","ror":"https://ror.org/010jskt71","country_code":"US","type":"education","lineage":["https://openalex.org/I84475105"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"CHRISTOPHER GRANT","raw_affiliation_strings":["Aerospace Engineering Department , Embry-Riddle Aeronautical University , Daytona Beach, FL, USA","Aerospace Engineering Department, Embry Riddle Aeronautical University, Daytona Beach, FL USA"],"affiliations":[{"raw_affiliation_string":"Aerospace Engineering Department , Embry-Riddle Aeronautical University , Daytona Beach, FL, USA","institution_ids":["https://openalex.org/I84475105"]},{"raw_affiliation_string":"Aerospace Engineering Department, Embry Riddle Aeronautical University, Daytona Beach, FL USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028221499","display_name":"BRET GILLIS","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"BRET GILLIS","raw_affiliation_strings":["TransCore , Norcross, GA, USA"],"affiliations":[{"raw_affiliation_string":"TransCore , Norcross, GA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086393125","display_name":"Randall Guensler","orcid":"https://orcid.org/0000-0003-2204-7427"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"RANDALL GUENSLER","raw_affiliation_strings":["School of Civil and Environmental Engineering , Georgia Institute of Technology , Atlanta, GA, USA","School of Civil and environmental engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Civil and Environmental Engineering , Georgia Institute of Technology , Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Civil and environmental engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076354306"],"corresponding_institution_ids":["https://openalex.org/I84475105"],"apc_list":null,"apc_paid":null,"fwci":2.9725,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.89051724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"343","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9659000039100647,"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"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9650999903678894,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827245354652405},{"id":"https://openalex.org/keywords/video-camera","display_name":"Video camera","score":0.5452637076377869},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5233556628227234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45153552293777466},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4383186101913452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43530553579330444},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.41636553406715393},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4008350372314453},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2803369164466858},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.158013254404068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827245354652405},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.5452637076377869},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5233556628227234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45153552293777466},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4383186101913452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43530553579330444},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41636553406715393},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4008350372314453},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2803369164466858},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.158013254404068},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10248070008903775","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10248070008903775","pdf_url":null,"source":{"id":"https://openalex.org/S136111043","display_name":"ITS Journal - Intelligent Transportation Systems Journal","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1563-5082"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ITS Journal - Intelligent Transportation Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W602037063","https://openalex.org/W617752072","https://openalex.org/W831153296","https://openalex.org/W1535589967","https://openalex.org/W4254951692"],"related_works":["https://openalex.org/W2521728836","https://openalex.org/W2972088616","https://openalex.org/W2008793610","https://openalex.org/W3081865863","https://openalex.org/W2363526272","https://openalex.org/W3175632857","https://openalex.org/W4285065526","https://openalex.org/W4386608660","https://openalex.org/W2354191457","https://openalex.org/W77977451"],"abstract_inverted_index":{"Advanced":[0],"traffic":[1,173,204],"management":[2],"systems":[3,20,70],"allow":[4],"video":[5,28,67,106,122,135,191,202],"image":[6,68,107],"detection":[7,19,69,98,108,123],"to":[8,36,143,162,197],"supplement":[9],"and":[10,30,34,51,57,81,93,110,157,183],"improve":[11],"data":[12,145],"inputs":[13],"in":[14,149,171,206],"transportation":[15,101,130],"modeling":[16],"efforts.":[17],"Video":[18],"use":[21,200],"machine":[22],"vision":[23],"technology,":[24],"the":[25,64,77,84,167,188],"interaction":[26],"of":[27,49,66,180,190,201],"cameras,":[29],"specialty":[31],"computer":[32],"hardware":[33],"software":[35],"measure":[37],"traffic.":[38],"Traffic":[39],"parameters":[40,53,174,205],"such":[41,75,88,119],"as":[42,76,89,177],"hourly":[43],"flows,":[44],"density,":[45],"vehicle":[46,97,154],"speed,":[47],"level":[48],"service,":[50],"other":[52],"derived":[54],"from":[55,105,118,134,146],"measured":[56],"default":[58],"values":[59],"are":[60,160,175],"automatically":[61],"computed.":[62],"However,":[63],"accuracy":[65,189],"is":[71,124,141],"dependent":[72],"upon":[73],"factors":[74,87],"camera":[78,181],"height,":[79],"location,":[80],"angle":[82],"above":[83],"roadway.":[85],"Environmental":[86],"rain,":[90],"sun":[91],"intensity,":[92],"day/night":[94],"also":[95],"affect":[96],"accuracy.":[99],"Existing":[100],"models":[102,114,131],"can":[103,115,132],"benefit":[104,133],"technology":[109],"improved":[111],"travel":[112],"demand":[113],"be":[116],"developed":[117],"data,":[120],"providing":[121],"accurate.":[125],"This":[126],"paper":[127],"examines":[128],"how":[129],"data.":[136],"A":[137],"commercially":[138],"available":[139],"system":[140],"used":[142],"collect":[144],"freeway":[147],"segments":[148],"Atlanta,":[150],"Georgia.":[151],"The":[152,193],"detected":[153,203],"counts,":[155],"classifications,":[156],"average":[158],"speeds":[159],"compared":[161],"true":[163],"counts":[164],"obtained":[165],"over":[166],"same":[168],"interval.":[169],"Differences":[170],"these":[172],"determined":[176],"a":[178],"function":[179],"location":[182],"site":[184],"conditions":[185],"that":[186],"constrain":[187],"detection.":[192],"analytical":[194],"results":[195],"lead":[196],"recommendations":[198],"on":[199],"model":[207],"improvement.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
