{"id":"https://openalex.org/W2597528435","doi":"https://doi.org/10.1080/15472450.2017.1299011","title":"Real-time queue length estimation using event-based advance detector data","display_name":"Real-time queue length estimation using event-based advance detector data","publication_year":2017,"publication_date":"2017-03-27","ids":{"openalex":"https://openalex.org/W2597528435","doi":"https://doi.org/10.1080/15472450.2017.1299011","mag":"2597528435"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1299011","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1299011","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"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/A5046347144","display_name":"Chengchuan An","orcid":"https://orcid.org/0000-0002-5254-8751"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchuan An","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"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 Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052152970","display_name":"Jingxin Xia","orcid":"https://orcid.org/0000-0003-2298-3303"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingxin Xia","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005509997","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0003-4377-8237"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, P.R. China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052152970"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":3.2185,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.91968468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"277","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9973000288009644,"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/queue","display_name":"Queue","score":0.8270056247711182},{"id":"https://openalex.org/keywords/breakpoint","display_name":"Breakpoint","score":0.6504154205322266},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5819057822227478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5468282103538513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440295934677124},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.540481686592102},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5378955602645874},{"id":"https://openalex.org/keywords/upstream","display_name":"Upstream (networking)","score":0.4431186318397522},{"id":"https://openalex.org/keywords/signal-timing","display_name":"Signal timing","score":0.4314943552017212},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4223836660385132},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09065958857536316},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08805209398269653}],"concepts":[{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.8270056247711182},{"id":"https://openalex.org/C206936463","wikidata":"https://www.wikidata.org/wiki/Q634179","display_name":"Breakpoint","level":4,"score":0.6504154205322266},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5819057822227478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5468282103538513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440295934677124},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.540481686592102},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5378955602645874},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.4431186318397522},{"id":"https://openalex.org/C2776006172","wikidata":"https://www.wikidata.org/wiki/Q7512741","display_name":"Signal timing","level":3,"score":0.4314943552017212},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4223836660385132},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09065958857536316},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08805209398269653},{"id":"https://openalex.org/C138626823","wikidata":"https://www.wikidata.org/wiki/Q916504","display_name":"Chromosomal translocation","level":3,"score":0.0},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2017.1299011","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1299011","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W147164317","https://openalex.org/W640967672","https://openalex.org/W654950811","https://openalex.org/W1966917785","https://openalex.org/W1968111560","https://openalex.org/W1978694557","https://openalex.org/W1980258017","https://openalex.org/W1992477951","https://openalex.org/W2000075452","https://openalex.org/W2000438016","https://openalex.org/W2003730896","https://openalex.org/W2004138690","https://openalex.org/W2005961304","https://openalex.org/W2017820766","https://openalex.org/W2020893175","https://openalex.org/W2024564885","https://openalex.org/W2032137277","https://openalex.org/W2032880816","https://openalex.org/W2042388588","https://openalex.org/W2047251773","https://openalex.org/W2050299279","https://openalex.org/W2063890507","https://openalex.org/W2072378947","https://openalex.org/W2077313061","https://openalex.org/W2093921901","https://openalex.org/W2127810199","https://openalex.org/W2140700596","https://openalex.org/W2154500405","https://openalex.org/W2156271471","https://openalex.org/W2169306346","https://openalex.org/W2170718378","https://openalex.org/W2171688475","https://openalex.org/W2178593207","https://openalex.org/W2246455584","https://openalex.org/W2273152713","https://openalex.org/W4241043349","https://openalex.org/W4242419332","https://openalex.org/W4246173080"],"related_works":["https://openalex.org/W3015619987","https://openalex.org/W1987888980","https://openalex.org/W3176315269","https://openalex.org/W2012715214","https://openalex.org/W595054024","https://openalex.org/W127398521","https://openalex.org/W2381209790","https://openalex.org/W2064370298","https://openalex.org/W4387526925","https://openalex.org/W2024884228"],"abstract_inverted_index":{"Real-time":[0],"queue":[1,30,40,65,104,144],"length":[2,66,105,145],"information":[3],"at":[4],"signalized":[5],"intersections":[6],"is":[7,72],"useful":[8],"for":[9,77],"both":[10],"performance":[11],"evaluation":[12],"and":[13,89,94,102,121,164],"signal":[14,79],"optimization.":[15],"Previous":[16],"studies":[17,62],"have":[18,63],"successfully":[19],"examined":[20],"the":[21,34,47,100,150,155],"use":[22],"of":[23,36,108,162],"high-resolution":[24],"event-based":[25,132],"data":[26,133],"to":[27,98,154],"estimate":[28],"real-time":[29,39],"lengths.":[31],"Based":[32],"on":[33],"identification":[35,123],"critical":[37],"breakpoints,":[38],"lengths":[41],"can":[42,54],"be":[43,55],"estimated":[44],"by":[45],"applying":[46],"commonly":[48],"used":[49],"shockwave":[50],"model.":[51],"Although":[52],"breakpoints":[53],"accurately":[56],"identified":[57],"using":[58,68,130,149],"lane-by-lane":[59],"detection,":[60,70],"few":[61],"investigated":[64],"estimation":[67,106],"single-channel":[69],"which":[71],"a":[73,84,116],"common":[74],"detection":[75],"scheme":[76],"actuated":[78],"control.":[80],"In":[81],"this":[82],"study,":[83],"breakpoint":[85],"misidentification":[86],"checking":[87],"process":[88],"two":[90],"input-output":[91],"models":[92],"(upstream-based":[93],"local-based)":[95],"are":[96,113],"proposed":[97,126,151],"address":[99],"overestimation":[101],"short":[103],"problems":[107],"breakpoint-based":[109,118,156],"models.":[110],"These":[111],"procedures":[112],"integrated":[114],"with":[115,158],"typical":[117],"model":[119],"framework":[120,127],"queue-over-detector":[122],"process.":[124],"The":[125],"was":[128],"evaluated":[129],"field-collected":[131],"along":[134],"Speedway":[135],"Boulevard":[136],"in":[137,142],"Tucson,":[138],"Arizona.":[139],"Significant":[140],"improvements":[141],"maximum":[143],"estimates":[146],"were":[147],"achieved":[148],"method":[152],"compared":[153],"model,":[157],"mean":[159],"absolute":[160],"errors":[161],"35.7":[163],"105.6":[165],"ft.,":[166],"respectively.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}