{"id":"https://openalex.org/W4281729305","doi":"https://doi.org/10.1080/15472450.2022.2075701","title":"Network-level turning movement counts estimation using traffic controller event-based data","display_name":"Network-level turning movement counts estimation using traffic controller event-based data","publication_year":2022,"publication_date":"2022-05-29","ids":{"openalex":"https://openalex.org/W4281729305","doi":"https://doi.org/10.1080/15472450.2022.2075701"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2022.2075701","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2022.2075701","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1547-2442","1547-2450","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":"Journal of Intelligent Transportation Systems","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/A5028614556","display_name":"Peipei Xu","orcid":"https://orcid.org/0000-0002-1781-3820"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peipei Xu","raw_affiliation_strings":["Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-1781-3820","affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725265","display_name":"Xiaofeng Li","orcid":"https://orcid.org/0000-0001-5526-9961"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaofeng Li","raw_affiliation_strings":["Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-5526-9961","affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032118254","display_name":"Yao\u2010Jan Wu","orcid":"https://orcid.org/0000-0002-0456-7915"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao-Jan Wu","raw_affiliation_strings":["Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-0456-7915","affiliations":[{"raw_affiliation_string":"Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005482741","display_name":"Hyunsoo Noh","orcid":"https://orcid.org/0000-0003-1311-7315"},"institutions":[{"id":"https://openalex.org/I4210089807","display_name":"Pima County Health Department","ror":"https://ror.org/009dw2t03","country_code":"US","type":"government","lineage":["https://openalex.org/I4210089807"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyunsoo Noh","raw_affiliation_strings":["Pima Association of Governments, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pima Association of Governments, Tucson, AZ, USA","institution_ids":["https://openalex.org/I4210089807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100725265"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":1.2146,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.74663912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"5","first_page":"677","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10524","display_name":"Traffic control and management","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9977999925613403,"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/intersection","display_name":"Intersection (aeronautics)","score":0.714343786239624},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6085002422332764},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5632953643798828},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5627902150154114},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5486812591552734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5249329209327698},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4809081554412842},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.43681958317756653},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3217906355857849},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23018094897270203},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14614352583885193},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1275215446949005}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.714343786239624},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6085002422332764},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5632953643798828},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5627902150154114},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5486812591552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5249329209327698},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4809081554412842},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.43681958317756653},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3217906355857849},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23018094897270203},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14614352583885193},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1275215446949005},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2022.2075701","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2022.2075701","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1024-8072","issn":["1024-8072","1027-751X","1547-2442","1547-2450","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":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W147164317","https://openalex.org/W597872396","https://openalex.org/W1505271336","https://openalex.org/W1586335931","https://openalex.org/W1968474771","https://openalex.org/W1978926395","https://openalex.org/W1993147024","https://openalex.org/W2000359198","https://openalex.org/W2004105175","https://openalex.org/W2005592636","https://openalex.org/W2007967944","https://openalex.org/W2010518210","https://openalex.org/W2039929895","https://openalex.org/W2050299279","https://openalex.org/W2091709668","https://openalex.org/W2132989923","https://openalex.org/W2156271471","https://openalex.org/W2597528435","https://openalex.org/W2607080081","https://openalex.org/W2772825167","https://openalex.org/W2792545614","https://openalex.org/W2897859929","https://openalex.org/W2936723966","https://openalex.org/W2937313205","https://openalex.org/W2952934837","https://openalex.org/W2963134384","https://openalex.org/W2995150442","https://openalex.org/W3106626727","https://openalex.org/W3176441379","https://openalex.org/W7029119995"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2349391998","https://openalex.org/W2362101859","https://openalex.org/W4205655149","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W4235810826","https://openalex.org/W4389170239"],"abstract_inverted_index":{"Accurate":[0],"turning":[1],"movement":[2,196],"counts":[3],"(TMCs)":[4],"data":[5,44,72,124,128,209,215],"collected":[6],"from":[7,45,87,143],"regional-wide":[8],"signalized":[9,139],"intersections":[10,28,140],"is":[11,110],"critical":[12],"to":[13,55,112,149,211],"regional":[14],"transportation":[15,223],"planning":[16],"and":[17,32,97,125,151,185,194,219],"simulation":[18],"modeling.":[19],"A":[20],"variety":[21],"of":[22,40,50,178,206],"existing":[23,68,88,208],"traffic":[24,30,46,69,83],"sensors,":[25],"configured":[26,54],"at":[27],"for":[29,63,134,189,222],"detection":[31],"signal":[33],"control,":[34],"can":[35,81,164],"generate":[36],"a":[37,61,104,171,203],"large":[38],"amount":[39],"real-time":[41],"high-resolution":[42],"event-based":[43,71,89],"controllers":[47],"but":[48],"few":[49],"these":[51,102],"sensors":[52],"are":[53,85,129,141],"collect":[56],"TMC.":[57,114],"This":[58,200],"paper":[59],"proposes":[60],"methodology":[62],"estimating":[64],"network-level":[65,118,213],"TMC":[66,119,214],"using":[67],"controller":[70],"without":[73,216],"installing":[74],"additional":[75,217],"sensors.":[76],"First,":[77],"relevant":[78],"features":[79],"that":[80,160],"indicate":[82],"arrival":[84],"extracted":[86],"data,":[90],"including":[91],"detector":[92],"occupancy":[93],"time,":[94],"detector-triggered":[95],"count,":[96],"green":[98],"time":[99],"duration.":[100],"With":[101],"features,":[103],"multi-output":[105],"multilayer":[106],"neural":[107],"network":[108],"model":[109,163],"developed":[111,154],"estimate":[113,166],"To":[115],"further":[116],"improve":[117],"estimation":[120],"accuracy,":[121],"intersection":[122],"infrastructure":[123,218],"point-of-interest":[126],"(POI)":[127],"included":[130],"as":[131,168],"exogenous":[132],"variables":[133],"the":[135,144,153,161],"proposed":[136,162],"model.":[137,155],"Ninety-three":[138],"chosen":[142],"Pima":[145],"County":[146],"region,":[147],"Arizona,":[148],"calibrate":[150],"verify":[152],"The":[156],"validation":[157],"results":[158],"show":[159],"accurately":[165],"TMC,":[167],"indicated":[169],"by":[170],"median":[172],"Root":[173],"Mean":[174],"Square":[175],"Error":[176],"(RMSE)":[177],"41":[179],"veh/15":[180,183,187],"min,":[181,184],"11":[182],"12":[186],"min":[188],"through":[190],"movement,":[191,193],"left-turn":[192],"right-turn":[195],"volume":[197],"estimation,":[198],"respectively.":[199],"research":[201],"provides":[202],"new":[204],"possibility":[205],"utilizing":[207],"sources":[210],"obtain":[212],"labor":[220],"costs":[221],"agencies.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}