{"id":"https://openalex.org/W2565654003","doi":"https://doi.org/10.1109/itsc.2016.7795901","title":"Using travel time reliability measures with individual vehicle data","display_name":"Using travel time reliability measures with individual vehicle data","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2565654003","doi":"https://doi.org/10.1109/itsc.2016.7795901","mag":"2565654003"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5007088492","display_name":"Isaac K Isukapati","orcid":"https://orcid.org/0000-0003-3204-7201"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Isaac K Isukapati","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063735661","display_name":"George List","orcid":"https://orcid.org/0000-0002-7044-1042"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George F List","raw_affiliation_strings":["Department of Civil Engineering, North Carolina State University, Raleigh, NC"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, North Carolina State University, Raleigh, NC","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007088492"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.6098,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75021841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2131","last_page":"2136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9984999895095825,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/reliability","display_name":"Reliability (semiconductor)","score":0.6920555233955383},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6721597909927368},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6275551915168762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049367189407349},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6038359999656677},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.5237277150154114},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5173332095146179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4574732780456543},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4303479492664337},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42286187410354614},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39181628823280334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28889206051826477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17985811829566956},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.1713058054447174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1367778778076172},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08832135796546936}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6920555233955383},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6721597909927368},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6275551915168762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049367189407349},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6038359999656677},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.5237277150154114},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5173332095146179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4574732780456543},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4303479492664337},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42286187410354614},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39181628823280334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28889206051826477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17985811829566956},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.1713058054447174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1367778778076172},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08832135796546936},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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:10.1109/itsc.2016.7795901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W573457606","https://openalex.org/W802382826","https://openalex.org/W1977556410","https://openalex.org/W2038383005","https://openalex.org/W2134475428","https://openalex.org/W2956861881","https://openalex.org/W6622891823","https://openalex.org/W6765980260"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2894446834"],"abstract_inverted_index":{"The":[0,15,57,86],"assessment":[1],"of":[2,18,59,93,111,114,158,185],"travel":[3,70,115,131],"time":[4,65,71],"reliability":[5,27,52,97,159],"for":[6,123],"segments":[7],"and":[8,69,83,117,172],"routes":[9],"is":[10,21,90,161],"a":[11,120,124,156],"rapidly":[12],"advancing":[13],"frontier.":[14],"increasing":[16],"availability":[17],"probe":[19,55,186],"data":[20,34,187],"making":[22],"it":[23],"possible":[24],"to":[25,37,50,154],"monitor":[26,51],"in":[28,108,137,151,182,190],"real-time":[29,96],"based":[30,39,53],"on":[31,40,54],"individual":[32],"vehicle":[33],"as":[35,163,165],"opposed":[36],"ex-post-facto":[38],"averages.":[41],"This":[42,103],"paper":[43,104],"examines":[44],"metrics":[45,61,107],"that":[46,160],"can":[47],"be":[48],"used":[49],"data.":[56],"merits":[58],"traditional":[60],"like":[62,78],"the":[63,91,109,127,140,166,175,183],"planning":[64],"index,":[66,68],"buffer":[67],"index":[72],"are":[73,180],"compared":[74],"with":[75,139],"newer":[76],"ideas":[77,179],"complete":[79,164],"cumulative":[80],"distribution":[81],"functions":[82],"mean/variance":[84],"combinations.":[85],"question":[87],"is:":[88],"what":[89],"quality":[92],"information":[94],"about":[95],"provided":[98],"by":[99],"these":[100,106],"various":[101],"options?":[102],"compares":[105],"context":[110,184],"probe-based":[112],"observations":[113],"times":[116],"rates.":[118],"Also,":[119],"new":[121],"idea":[122],"pairwise":[125],"metric,":[126],"root":[128],"mean":[129],"square":[130],"rate":[132],"\u03c4":[133],"<sub":[134,144],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[135,145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rms</sub>":[136],"conjunction":[138],"standard":[141],"deviation":[142],"\u03c3":[143],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03c4</sub>":[146],".":[147],"These":[148,178],"two":[149],"measures":[150],"combination":[152],"seem":[153],"provide":[155],"picture":[157],"nearly":[162],"underlying":[167],"Cumulative":[168],"Density":[169],"Function":[170],"(CDF)":[171],"better":[173],"than":[174],"simpler":[176],"metrics.":[177],"examined":[181],"from":[188],"I-5":[189],"Sacramento,":[191],"CA.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}