{"id":"https://openalex.org/W2144830515","doi":"https://doi.org/10.1109/tits.2011.2106209","title":"Prediction Intervals to Account for Uncertainties in Travel Time Prediction","display_name":"Prediction Intervals to Account for Uncertainties in Travel Time Prediction","publication_year":2011,"publication_date":"2011-02-03","ids":{"openalex":"https://openalex.org/W2144830515","doi":"https://doi.org/10.1109/tits.2011.2106209","mag":"2144830515"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2011.2106209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2011.2106209","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on 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/A5059557438","display_name":"Abbas Khosravi","orcid":"https://orcid.org/0000-0001-6927-0744"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Abbas Khosravi","raw_affiliation_strings":["Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046728801","display_name":"Ehsan Mazloumi","orcid":"https://orcid.org/0000-0003-4585-0079"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ehsan Mazloumi","raw_affiliation_strings":["Institute of Transport Studies, Department of Civil Engineering, Monash University, Melbourne, VIC, Australia","[Department of Civil Engineering, Monash University, Melbourne, Vic., Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Transport Studies, Department of Civil Engineering, Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"[Department of Civil Engineering, Monash University, Melbourne, Vic., Australia]","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057133494","display_name":"Saeid Nahavandi","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109097718","display_name":"Doug Creighton","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Doug Creighton","raw_affiliation_strings":["Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia#TAB#","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079555394","display_name":"Hans van Lint","orcid":"https://orcid.org/0000-0003-1493-6750"},"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"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","NL"],"is_corresponding":false,"raw_author_name":"J. W. C. van Lint","raw_affiliation_strings":["Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technnology, Delft, Netherlands","[Department of Civil Engineering, Monash University, Melbourne, Vic., Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technnology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"[Department of Civil Engineering, Monash University, Melbourne, Vic., Australia]","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059557438"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":23.8227,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.99637755,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":"2","first_page":"537","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10524","display_name":"Traffic control and management","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6670981049537659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6427804827690125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5513356924057007},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5268741250038147},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.521573007106781},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.518448531627655},{"id":"https://openalex.org/keywords/coverage-probability","display_name":"Coverage probability","score":0.4670288562774658},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4631494879722595},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44642117619514465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4386652112007141},{"id":"https://openalex.org/keywords/predictive-inference","display_name":"Predictive inference","score":0.4263712763786316},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4157804846763611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4098619222640991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3805629014968872},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2873368263244629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.185907781124115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15854409337043762},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.10392886400222778},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.07809734344482422}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6670981049537659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427804827690125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5513356924057007},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5268741250038147},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.521573007106781},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.518448531627655},{"id":"https://openalex.org/C2776292839","wikidata":"https://www.wikidata.org/wiki/Q5179217","display_name":"Coverage probability","level":3,"score":0.4670288562774658},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4631494879722595},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44642117619514465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4386652112007141},{"id":"https://openalex.org/C917703","wikidata":"https://www.wikidata.org/wiki/Q7239668","display_name":"Predictive inference","level":5,"score":0.4263712763786316},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4157804846763611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4098619222640991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3805629014968872},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2873368263244629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.185907781124115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15854409337043762},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.10392886400222778},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.07809734344482422},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2011.2106209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2011.2106209","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30044119","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W639573532","https://openalex.org/W1501691732","https://openalex.org/W1536012000","https://openalex.org/W1554663460","https://openalex.org/W1560021816","https://openalex.org/W1971757341","https://openalex.org/W1977238661","https://openalex.org/W1984328578","https://openalex.org/W1985579611","https://openalex.org/W1986320533","https://openalex.org/W2028250051","https://openalex.org/W2029486861","https://openalex.org/W2034544282","https://openalex.org/W2035174181","https://openalex.org/W2035345434","https://openalex.org/W2039852947","https://openalex.org/W2050053010","https://openalex.org/W2052848632","https://openalex.org/W2053017925","https://openalex.org/W2058794637","https://openalex.org/W2067796266","https://openalex.org/W2069003405","https://openalex.org/W2071277963","https://openalex.org/W2088538739","https://openalex.org/W2095717261","https://openalex.org/W2101331319","https://openalex.org/W2103062922","https://openalex.org/W2104554956","https://openalex.org/W2106780896","https://openalex.org/W2107950496","https://openalex.org/W2113864992","https://openalex.org/W2115299933","https://openalex.org/W2117897510","https://openalex.org/W2132477882","https://openalex.org/W2133237232","https://openalex.org/W2140041726","https://openalex.org/W2142741920","https://openalex.org/W2155816288","https://openalex.org/W2156705969","https://openalex.org/W2162031086","https://openalex.org/W2165456507","https://openalex.org/W2496780187","https://openalex.org/W2907166657","https://openalex.org/W4388297464","https://openalex.org/W6631845375","https://openalex.org/W6675608512","https://openalex.org/W6677092830","https://openalex.org/W6679679677"],"related_works":["https://openalex.org/W2575451619","https://openalex.org/W2972487122","https://openalex.org/W4288110750","https://openalex.org/W2998268006","https://openalex.org/W2111053936","https://openalex.org/W1504894115","https://openalex.org/W2915864355","https://openalex.org/W4309152846","https://openalex.org/W4243073043","https://openalex.org/W4386212329"],"abstract_inverted_index":{"The":[0,108,133],"accurate":[1],"prediction":[2,44,52],"of":[3,59,77,89,100,125,147,149],"travel":[4,31,42,61,129],"times":[5,62],"is":[6,14,39],"desirable":[7],"but":[8],"frequently":[9],"prone":[10],"to":[11,17,29,40,50,115],"error.":[12],"This":[13,66],"mainly":[15],"attributable":[16],"both":[18],"the":[19,24,57,69,75,90,119,138,142,160,167],"underlying":[20],"traffic":[21],"processes":[22],"and":[23,36,49,71,83,105,110,127,170],"data":[25,131],"that":[26,137],"are":[27,81,113,163],"used":[28,114],"infer":[30],"time.":[32],"A":[33],"more":[34,164],"meaningful":[35],"pragmatic":[37],"approach":[38],"view":[41],"time":[43,130],"as":[45],"a":[46,86],"probabilistic":[47],"inference":[48],"construct":[51,116],"intervals":[53],"(PIs),":[54],"which":[55],"cover":[56],"range":[58],"probable":[60],"travelers":[63],"may":[64],"encounter.":[65],"paper":[67],"introduces":[68],"delta":[70,111,139],"Bayesian":[72,109,143,161],"techniques":[73],"for":[74,85,118],"construction":[76],"PIs.":[78,92],"Quantitative":[79],"measures":[80,94],"developed":[82],"applied":[84],"comprehensive":[87],"assessment":[88],"constructed":[91,158],"These":[93],"simultaneously":[95],"address":[96],"two":[97],"important":[98],"aspects":[99],"PIs:":[101],"1)":[102],"coverage":[103,153,173],"probability":[104],"2)":[106],"length.":[107],"methods":[112],"PIs":[117,150,157],"neural":[120],"network":[121],"(NN)":[122],"point":[123],"forecasts":[124],"bus":[126],"freeway":[128],"sets.":[132],"obtained":[134],"results":[135],"indicate":[136],"technique":[140,144,162],"outperforms":[141],"in":[145],"terms":[146],"narrowness":[148],"with":[151],"satisfactory":[152],"probability.":[154,174],"In":[155],"contrast,":[156],"using":[159],"robust":[165],"against":[166],"NN":[168],"structure":[169],"exhibit":[171],"excellent":[172]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":9}],"updated_date":"2026-05-19T08:33:51.333923","created_date":"2025-10-10T00:00:00"}