{"id":"https://openalex.org/W2575087844","doi":"https://doi.org/10.1080/15472450.2017.1283989","title":"The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework","display_name":"The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework","publication_year":2017,"publication_date":"2017-01-20","ids":{"openalex":"https://openalex.org/W2575087844","doi":"https://doi.org/10.1080/15472450.2017.1283989","mag":"2575087844"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1283989","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1283989","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/A5047497087","display_name":"Fangce Guo","orcid":"https://orcid.org/0000-0001-9720-0997"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I2799890334","display_name":"Transport for London","ror":"https://ror.org/03vnshb93","country_code":"GB","type":"government","lineage":["https://openalex.org/I2799730521","https://openalex.org/I2799890334"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fangce Guo","raw_affiliation_strings":["Centre for Transport Studies, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051985321","display_name":"Rajesh Krishnan","orcid":"https://orcid.org/0000-0001-6798-6255"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I2799890334","display_name":"Transport for London","ror":"https://ror.org/03vnshb93","country_code":"GB","type":"government","lineage":["https://openalex.org/I2799730521","https://openalex.org/I2799890334"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rajesh Krishnan","raw_affiliation_strings":["Centre for Transport Studies, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077430514","display_name":"John Polak","orcid":"https://orcid.org/0000-0002-3222-483X"},"institutions":[{"id":"https://openalex.org/I2799890334","display_name":"Transport for London","ror":"https://ror.org/03vnshb93","country_code":"GB","type":"government","lineage":["https://openalex.org/I2799730521","https://openalex.org/I2799890334"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Polak","raw_affiliation_strings":["Centre for Transport Studies, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047497087"],"corresponding_institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.1787,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79015355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"21","issue":"3","first_page":"214","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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":0.9879999756813049,"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/smoothing","display_name":"Smoothing","score":0.9197040796279907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6481525897979736},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5445518493652344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39957529306411743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3572527766227722},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.328971803188324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17697909474372864}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.9197040796279907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6481525897979736},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5445518493652344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39957529306411743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3572527766227722},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.328971803188324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17697909474372864},{"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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/15472450.2017.1283989","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1283989","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"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/65187","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/65187","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"226","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5123929031","display_name":null,"funder_award_id":"EP/F005156/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W594114979","https://openalex.org/W626441390","https://openalex.org/W1480376833","https://openalex.org/W1529430712","https://openalex.org/W1543905881","https://openalex.org/W1554944419","https://openalex.org/W1577818368","https://openalex.org/W1964585049","https://openalex.org/W1972340269","https://openalex.org/W1984006069","https://openalex.org/W1991410369","https://openalex.org/W1994978245","https://openalex.org/W1996021349","https://openalex.org/W2000948558","https://openalex.org/W2007422655","https://openalex.org/W2013758377","https://openalex.org/W2024121617","https://openalex.org/W2034139177","https://openalex.org/W2034489756","https://openalex.org/W2041292655","https://openalex.org/W2041743444","https://openalex.org/W2059507684","https://openalex.org/W2069929199","https://openalex.org/W2071816567","https://openalex.org/W2088779313","https://openalex.org/W2089079426","https://openalex.org/W2090192376","https://openalex.org/W2097498150","https://openalex.org/W2111991989","https://openalex.org/W2144717556","https://openalex.org/W2145316193","https://openalex.org/W2150010190","https://openalex.org/W2156909104","https://openalex.org/W2158078575","https://openalex.org/W2158994553","https://openalex.org/W2160095396","https://openalex.org/W2165456507","https://openalex.org/W2205100308","https://openalex.org/W2313953460","https://openalex.org/W2339042578","https://openalex.org/W2492794003","https://openalex.org/W2528458944","https://openalex.org/W2531524150","https://openalex.org/W2911964244","https://openalex.org/W3124054211","https://openalex.org/W4232129301","https://openalex.org/W4242502692","https://openalex.org/W4292483811"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"This":[0,66],"article":[1],"investigates":[2],"the":[3,14,17,33,36,68,74,88,98,120,136,147,156],"impact":[4],"of":[5,16,19,35,38,73,77,90,97,122,138,146],"alternative":[6],"data":[7,41,51,91,123],"smoothing":[8,42,78,92,124,149],"and":[9,43,59,63,79,102,111,115,142],"traffic":[10,57,109,154],"prediction":[11,26,46,94,99,133,140,158],"methods":[12,47,159,170],"on":[13,132],"accuracy":[15,95],"performance":[18,134],"a":[20,128],"two-stage":[21],"short-term":[22],"urban":[23,56],"travel":[24,49],"time":[25,50],"framework.":[27],"Using":[28],"this":[29,104,143],"framework,":[30],"we":[31],"test":[32],"influence":[34,76,131],"combination":[37],"two":[39,53],"different":[40,45,55,108,157],"four":[44],"using":[48],"from":[52],"substantially":[54],"environments":[58,110],"under":[60,165],"both":[61,113],"normal":[62,114,153],"abnormal":[64,116,166],"conditions.":[65,118],"constitutes":[67],"most":[69],"comprehensive":[70],"empirical":[71],"evaluation":[72],"joint":[75],"predictor":[80],"choice":[81,137],"to":[82],"date.":[83],"The":[84],"results":[85,163],"indicate":[86],"that":[87,103],"use":[89,121],"improves":[93],"regardless":[96],"method":[100,150],"used":[101],"is":[105,144],"true":[106],"in":[107,125],"during":[112],"(incident)":[117],"Moreover,":[119],"general":[126],"has":[127],"much":[129],"greater":[130],"than":[135],"specific":[139,148],"method,":[141],"independent":[145],"used.":[151],"In":[152],"conditions,":[155,167],"produce":[160],"broadly":[161],"similar":[162],"but":[164],"lazy":[168],"learning":[169],"emerge":[171],"as":[172],"superior.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}