{"id":"https://openalex.org/W2050524188","doi":"https://doi.org/10.1109/itsc.2010.5625291","title":"Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions","display_name":"Comparison of modelling approaches for short term traffic prediction under normal and abnormal conditions","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2050524188","doi":"https://doi.org/10.1109/itsc.2010.5625291","mag":"2050524188"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2010.5625291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","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/A5047497087","display_name":"Fangce Guo","orcid":"https://orcid.org/0000-0001-9720-0997"},"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":"Fangce Guo","raw_affiliation_strings":["Centre of Transport Studies, Imperial College London, London, UK","(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]},{"raw_affiliation_string":"(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","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 W. Polak","raw_affiliation_strings":["Centre of Transport Studies, Imperial College London, London, UK","(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]},{"raw_affiliation_string":"(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051985321","display_name":"Rajesh Krishnan","orcid":"https://orcid.org/0000-0001-6798-6255"},"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":"Rajesh Krishnan","raw_affiliation_strings":["Centre of Transport Studies, Imperial College London, London, UK","(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Transport Studies, Imperial College London, London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]},{"raw_affiliation_string":"(Centre for Transport Studies, Imperial College London, SW7 2AZ, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4338,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8926034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1209","last_page":"1214"},"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":0.9980999827384949,"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":0.9973999857902527,"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/term","display_name":"Term (time)","score":0.7043238282203674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935949325561523},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.556428074836731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5422606468200684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5068088173866272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5013437271118164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796660244464874},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4480571448802948}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7043238282203674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935949325561523},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.556428074836731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5422606468200684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5068088173866272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5013437271118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796660244464874},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4480571448802948},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2010.5625291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"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/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W563900403","https://openalex.org/W617956169","https://openalex.org/W623127722","https://openalex.org/W626461513","https://openalex.org/W1554944419","https://openalex.org/W1971757341","https://openalex.org/W1973943669","https://openalex.org/W2012079387","https://openalex.org/W2020372185","https://openalex.org/W2021153764","https://openalex.org/W2024558842","https://openalex.org/W2036889885","https://openalex.org/W2069929199","https://openalex.org/W2083238230","https://openalex.org/W2090192376","https://openalex.org/W2111991989","https://openalex.org/W2125817951","https://openalex.org/W2144623333","https://openalex.org/W2154500405","https://openalex.org/W2156909104","https://openalex.org/W2158663270","https://openalex.org/W2165456507","https://openalex.org/W2528458944","https://openalex.org/W3215186461","https://openalex.org/W6619268163","https://openalex.org/W6619653981","https://openalex.org/W6619783090","https://openalex.org/W6656565592"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2901443725","https://openalex.org/W42295635","https://openalex.org/W2350084742","https://openalex.org/W4318612353","https://openalex.org/W4390939596","https://openalex.org/W4389829534"],"abstract_inverted_index":{"Short-term":[0],"prediction":[1],"of":[2,9],"traffic":[3,11],"flows":[4],"is":[5,21],"an":[6],"integral":[7],"component":[8],"proactive":[10],"management":[12],"systems.":[13,25],"Prediction":[14],"during":[15,66,82],"abnormal":[16],"conditions,":[17],"such":[18,24],"as":[19,54],"incidents,":[20],"important":[22],"for":[23],"In":[26],"this":[27],"paper,":[28],"three":[29],"different":[30],"models":[31,63],"with":[32],"increasing":[33],"information":[34,81],"in":[35,59],"explanatory":[36],"variables":[37],"are":[38,52,64],"presented.":[39],"Time":[40],"Delay":[41],"and":[42,46,69],"Recurrent":[43],"Neural":[44],"Networks":[45],"the":[47,55],"k-Nearest":[48],"Neighbour":[49],"(kNN)":[50],"algorithms":[51],"chosen":[53],"machine":[56],"learning":[57],"tools":[58],"these":[60],"models.":[61],"The":[62,72],"tested":[65],"both":[67],"normal":[68],"incident":[70],"conditions.":[71],"results":[73],"indicate":[74],"that":[75],"historical":[76],"patterns":[77],"provide":[78],"less":[79],"predictive":[80],"incidents.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}