{"id":"https://openalex.org/W1541460719","doi":"https://doi.org/10.1109/mtits.2015.7223234","title":"An iterative procedure for estimating the generalized average speed using microscopic point measurements","display_name":"An iterative procedure for estimating the generalized average speed using microscopic point measurements","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1541460719","doi":"https://doi.org/10.1109/mtits.2015.7223234","mag":"1541460719"},"language":"en","primary_location":{"id":"doi:10.1109/mtits.2015.7223234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2015.7223234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-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/A5086713084","display_name":"Anahita Jamshidnejad","orcid":"https://orcid.org/0000-0001-9151-2607"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Anahita Jamshidnejad","raw_affiliation_strings":["Delft Center for Systems and Control (DCSC) Delft University of Technology Delft, Netherlands","Delft Center for Syst. & Control (DCSC), Delft Univ. of Technol., Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control (DCSC) Delft University of Technology Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft Center for Syst. & Control (DCSC), Delft Univ. of Technol., Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026547410","display_name":"Bart De Schutter","orcid":"https://orcid.org/0000-0001-9867-6196"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bart De Schutter","raw_affiliation_strings":["Delft Center for Systems and Control (DCSC) Delft University of Technology Delft, Netherlands","Delft Center for Syst. & Control (DCSC), Delft Univ. of Technol., Delft, Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control (DCSC) Delft University of Technology Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft Center for Syst. & Control (DCSC), Delft Univ. of Technol., Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086713084"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02919522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"38","last_page":"44"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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":0.9991999864578247,"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/detector","display_name":"Detector","score":0.7179457545280457},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6542098522186279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5434104204177856},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5320908427238464},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5126530528068542},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5027146339416504},{"id":"https://openalex.org/keywords/induction-loop","display_name":"Induction loop","score":0.4404824376106262},{"id":"https://openalex.org/keywords/section","display_name":"Section (typography)","score":0.4383791983127594},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.430591344833374},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4234470725059509},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.418677419424057},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35490891337394714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31189948320388794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22025105357170105},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.16896966099739075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13376811146736145},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12174069881439209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08872562646865845}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7179457545280457},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6542098522186279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5434104204177856},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5320908427238464},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5126530528068542},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5027146339416504},{"id":"https://openalex.org/C8406815","wikidata":"https://www.wikidata.org/wiki/Q2163913","display_name":"Induction loop","level":3,"score":0.4404824376106262},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.4383791983127594},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.430591344833374},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4234470725059509},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.418677419424057},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35490891337394714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31189948320388794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22025105357170105},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.16896966099739075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13376811146736145},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12174069881439209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08872562646865845},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mtits.2015.7223234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2015.7223234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338409","display_name":"Northwest Fisheries Science Center","ror":"https://ror.org/05r7z1k40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W32452329","https://openalex.org/W593167010","https://openalex.org/W1600175910","https://openalex.org/W1980126630","https://openalex.org/W1989984920","https://openalex.org/W2019563076","https://openalex.org/W2030193261","https://openalex.org/W2038823732","https://openalex.org/W2057011654","https://openalex.org/W2093639153","https://openalex.org/W2163192150","https://openalex.org/W2177295793","https://openalex.org/W2487175822","https://openalex.org/W2571348409","https://openalex.org/W2764937720","https://openalex.org/W6635980465"],"related_works":["https://openalex.org/W3031439938","https://openalex.org/W2078202596","https://openalex.org/W582307135","https://openalex.org/W2008756995","https://openalex.org/W2993337315","https://openalex.org/W319109556","https://openalex.org/W2360119033","https://openalex.org/W2369829167","https://openalex.org/W1992042924","https://openalex.org/W2122596006"],"abstract_inverted_index":{"Various":[0],"traffic":[1,9,29],"applications":[2],"including":[3],"model-based":[4],"analysis":[5],"and":[6,24],"control":[7],"of":[8,22,93,113,146,170,184,226,229,251],"need":[10],"the":[11,37,65,74,89,94,101,114,134,140,144,147,154,161,168,178,185,196,202,212,216,219,233,237,248,252,257],"average":[12,15,76,95],"speed.":[13],"The":[14,130,181,244],"speed":[16,67,77,96],"is":[17,32,53,70,86,97,117,242],"used":[18,34],"as":[19,25],"a":[20,40,49,106,111,227],"measure":[21],"performance,":[23],"an":[26,71],"input":[27],"for":[28,63,73,124,133,206,255],"models.":[30],"It":[31],"also":[33],"to":[35,99,191],"obtain":[36],"density":[38],"from":[39,59],"known":[41],"flow":[42],"or":[43],"vice":[44],"versa.":[45],"In":[46],"this":[47],"paper,":[48],"new":[50,186,217],"iterative":[51,182,253],"procedure":[52,187,254],"presented":[54],"that":[55,85,103,116,136,198],"uses":[56],"point":[57],"measurements":[58],"inductive":[60],"loop":[61,122,156,179],"detectors":[62],"estimating":[64,211,256],"time-space-mean":[66],"(TSMS),":[68],"which":[69,222],"equivalent":[72],"generalized":[75],"introduced":[78],"by":[79,153,177],"Edie":[80],"(1965).":[81],"An":[82],"important":[83],"subject":[84],"missing":[87],"in":[88,139,165,236],"literature":[90],"considering":[91],"estimation":[92],"how":[98],"handle":[100],"vehicles":[102,135,150,172,197],"remain":[104],"on":[105,201,232],"given":[107],"road":[108,115,141,162,204],"section,":[109],"i.e.,":[110],"part":[112],"extended":[118],"between":[119],"two":[120],"consecutive":[121],"detectors,":[123],"more":[125],"than":[126],"one":[127],"sampling":[128,208],"cycle.":[129,148],"problem":[131],"occurs":[132],"are":[137,151],"still":[138],"section":[142,205],"at":[143],"end":[145],"These":[149],"detected":[152],"upstream":[155],"detector":[157],"once":[158],"they":[159],"enter":[160],"section.":[163],"However,":[164],"future":[166],"cycles":[167,209],"data":[169],"these":[171],"will":[173,199],"not":[174],"be":[175],"considered":[176],"detector.":[180],"approach":[183],"makes":[188],"it":[189],"possible":[190],"adequately":[192],"take":[193],"into":[194],"account":[195],"stay":[200],"same":[203],"several":[207],"when":[210],"TSMS.":[213],"To":[214],"evaluate":[215],"procedure,":[218],"NGSIM":[220],"data,":[221],"provides":[223],"detailed":[224],"information":[225],"collection":[228],"vehicle":[230],"trajectories":[231],"I-880":[234],"highway":[235],"San":[238],"Francisco":[239],"Bay":[240],"Area":[241],"utilized.":[243],"simulation":[245],"results":[246],"illustrate":[247],"excellent":[249],"performance":[250],"TSMS":[258],"compared":[259],"with":[260],"previous":[261],"approaches.":[262]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
