{"id":"https://openalex.org/W2775993952","doi":"https://doi.org/10.1080/15472450.2017.1421075","title":"How accurate is your travel time reliability?\u2014Measuring accuracy using bootstrapping and lognormal mixture models","display_name":"How accurate is your travel time reliability?\u2014Measuring accuracy using bootstrapping and lognormal mixture models","publication_year":2017,"publication_date":"2017-12-22","ids":{"openalex":"https://openalex.org/W2775993952","doi":"https://doi.org/10.1080/15472450.2017.1421075","mag":"2775993952"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1421075","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1421075","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/A5101606341","display_name":"Shu Yang","orcid":"https://orcid.org/0000-0002-6690-7081"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shu Yang","raw_affiliation_strings":["Center for Urban Transportation Research, College of Engineering, University of South Florida, Tampa, Florida, USA"],"raw_orcid":"https://orcid.org/0000-0002-6690-7081","affiliations":[{"raw_affiliation_string":"Center for Urban Transportation Research, College of Engineering, University of South Florida, Tampa, Florida, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020301850","display_name":"Payton Cooke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Payton Cooke","raw_affiliation_strings":["WSP, Tucson, Arizona, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WSP, Tucson, Arizona, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101606341"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":2.8548,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91463415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"6","first_page":"463","last_page":"477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937999844551086,"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/T10370","display_name":"Traffic and Road Safety","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.8639639019966125},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6894755363464355},{"id":"https://openalex.org/keywords/log-normal-distribution","display_name":"Log-normal distribution","score":0.6774729490280151},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.5254995822906494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47171562910079956},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4359052777290344},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39021801948547363},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3265668749809265},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.27031201124191284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25742751359939575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2177235186100006}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.8639639019966125},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6894755363464355},{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.6774729490280151},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.5254995822906494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47171562910079956},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4359052777290344},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39021801948547363},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3265668749809265},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.27031201124191284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25742751359939575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2177235186100006},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2017.1421075","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1421075","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":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309638","display_name":"Missouri Department of Transportation","ror":"https://ror.org/012c35a11"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W139896255","https://openalex.org/W576422671","https://openalex.org/W605692607","https://openalex.org/W624909281","https://openalex.org/W1543980706","https://openalex.org/W1577646917","https://openalex.org/W1964068448","https://openalex.org/W1968330050","https://openalex.org/W1976495514","https://openalex.org/W1982794588","https://openalex.org/W1989386132","https://openalex.org/W1994828980","https://openalex.org/W1995945562","https://openalex.org/W2003404844","https://openalex.org/W2009766819","https://openalex.org/W2017966183","https://openalex.org/W2029437829","https://openalex.org/W2035341404","https://openalex.org/W2055017490","https://openalex.org/W2055524127","https://openalex.org/W2058367339","https://openalex.org/W2064247357","https://openalex.org/W2070317330","https://openalex.org/W2076902400","https://openalex.org/W2077048703","https://openalex.org/W2086371615","https://openalex.org/W2111789455","https://openalex.org/W2123157647","https://openalex.org/W2126592598","https://openalex.org/W2130201106","https://openalex.org/W2159277705","https://openalex.org/W2275003227","https://openalex.org/W2543610789","https://openalex.org/W2548236685","https://openalex.org/W2756414070","https://openalex.org/W2756510544","https://openalex.org/W2766435098","https://openalex.org/W3106889297"],"related_works":["https://openalex.org/W2033512842","https://openalex.org/W4322734194","https://openalex.org/W1607054433","https://openalex.org/W3005535424","https://openalex.org/W4233600955","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W2994319598","https://openalex.org/W2110842462","https://openalex.org/W4233757488"],"abstract_inverted_index":{"As":[0],"with":[1],"travel":[2,9,14,23,63,224],"time":[3,10,15,24,64,76,225],"collection,":[4],"the":[5,12,39,69,104,111,150,166,172,184],"accuracy":[6,30,105,122,151,167,179],"of":[7,31,62,77,81,106,121,126,152,161,165,177,183,223],"observed":[8],"and":[11,42,79,109,144,159,180,241],"optimal":[13],"data":[16,226],"quantity":[17],"should":[18,34],"be":[19,35,45,53,207],"determined":[20],"before":[21],"using":[22,58],"reliability":[25],"(TTR)":[26],"data.":[27,162],"The":[28,163,194],"statistical":[29,40,127,192],"TTR":[32,70,107,153,178,185,203,232],"measures":[33,108,120,154,186,204],"evaluated":[36],"so":[37],"that":[38,201,218],"behavior":[41],"belief":[43],"can":[44,52],"fully":[46],"understood.":[47],"More":[48],"specifically,":[49],"this":[50,87],"issue":[51],"formulated":[54],"as":[55],"a":[56,59,72,97,115,131],"question:":[57],"certain":[60],"amount":[61],"data,":[65],"how":[66],"accurate":[67],"is":[68,114,227],"for":[71,85,118,210,229,238,244],"specific":[73,132],"freeway":[74,212,231],"corridor,":[75],"day,":[78],"day":[80],"week?":[82],"A":[83],"framework":[84,98,174],"answering":[86],"question":[88],"has":[89],"not":[90,188,206],"been":[91],"proposed":[92,173],"previously.":[93],"Our":[94],"study":[95,198,216],"proposes":[96],"based":[99],"on":[100],"bootstrapping":[101],"to":[102,123,148,191],"evaluate":[103,149],"answer":[110],"question.":[112],"Bootstrapping":[113],"computer-based":[116],"method":[117],"assigning":[119],"multiple":[124],"types":[125],"estimators":[128],"without":[129],"requiring":[130],"probability":[133],"distribution.":[134],"Three":[135],"scenarios":[136],"representing":[137],"three":[138],"traffic":[139,157],"flow":[140],"conditions":[141,158],"(free-flow,":[142],"congestion,":[143],"transition)":[145],"were":[146],"used":[147],"under":[155,233],"different":[156],"quantities":[160],"results":[164],"measurements":[168],"demonstrated":[169],"that:":[170],"(1)":[171],"supports":[175],"assessment":[176],"(2)":[181],"stabilization":[182],"did":[187],"necessarily":[189],"correspond":[190],"accuracy.":[193],"findings":[195],"in":[196],"our":[197,215],"also":[199],"suggested":[200,217],"moment-based":[202],"may":[205],"statistically":[208],"sufficient":[209,228],"measuring":[211,230],"TTR.":[213],"Additionally,":[214],"4":[219],"or":[220],"5":[221],"weeks":[222,237,243],"free-flow":[234],"conditions,":[235,240],"40":[236],"congested":[239],"35":[242],"transition":[245],"conditions.":[246]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}