{"id":"https://openalex.org/W2109764844","doi":"https://doi.org/10.1109/ijcnn.2011.6033614","title":"Real time vehicle speed prediction using a Neural Network Traffic Model","display_name":"Real time vehicle speed prediction using a Neural Network Traffic Model","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2109764844","doi":"https://doi.org/10.1109/ijcnn.2011.6033614","mag":"2109764844"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2011.6033614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5016066819","display_name":"Jungme Park","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jungme Park","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664401","display_name":"Li Dai","orcid":"https://orcid.org/0000-0002-7268-7548"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dai Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054035359","display_name":"Yi Lu Murphey","orcid":"https://orcid.org/0000-0002-0501-8002"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi L. Murphey","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA","institution_ids":["https://openalex.org/I4210130704"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering at the University of Michigan-Dearborn, Dearborn, 48128, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113820118","display_name":"Johannes Kristinsson","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johannes Kristinsson","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Company, Dearborn, MI 48120, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI 48120, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020367513","display_name":"Ryan McGee","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan McGee","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Company, Dearborn, MI 48120, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI 48120, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112023001","display_name":"Ming Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Kuang","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Company, Dearborn, MI 48120, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI 48120, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043148274","display_name":"Tony Phillips","orcid":"https://orcid.org/0000-0002-3058-9157"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tony Phillips","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA","Ford Motor Company, Dearborn, MI 48120, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI 48120, USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.7317,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.99377916,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2991","last_page":"2996"},"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/T10524","display_name":"Traffic control and management","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.693537175655365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820695400238037},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6767414808273315},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6439211964607239},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.6407960653305054},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.6353601217269897},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.5513277053833008},{"id":"https://openalex.org/keywords/network-traffic-simulation","display_name":"Network traffic simulation","score":0.45867639780044556},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45836031436920166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3806906044483185},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3313039541244507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.308920681476593},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.2403273582458496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22029462456703186},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.19009584188461304},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.15598177909851074},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09390723705291748}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.693537175655365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820695400238037},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6767414808273315},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6439211964607239},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.6407960653305054},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.6353601217269897},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.5513277053833008},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.45867639780044556},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45836031436920166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3806906044483185},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3313039541244507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.308920681476593},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.2403273582458496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22029462456703186},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.19009584188461304},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.15598177909851074},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09390723705291748},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2011.6033614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W32452329","https://openalex.org/W63101075","https://openalex.org/W178575045","https://openalex.org/W1569908924","https://openalex.org/W1584201434","https://openalex.org/W1585722679","https://openalex.org/W1597343047","https://openalex.org/W1973943669","https://openalex.org/W2023045136","https://openalex.org/W2030645388","https://openalex.org/W2032717371","https://openalex.org/W2053416550","https://openalex.org/W2074310496","https://openalex.org/W2086453056","https://openalex.org/W2090192376","https://openalex.org/W2093921901","https://openalex.org/W2095797625","https://openalex.org/W2139701643","https://openalex.org/W2150323660","https://openalex.org/W2154803870","https://openalex.org/W2498558572","https://openalex.org/W4230344429","https://openalex.org/W4285719527","https://openalex.org/W6602586200","https://openalex.org/W6607248608","https://openalex.org/W6634897148","https://openalex.org/W6724048997"],"related_works":["https://openalex.org/W2587362999","https://openalex.org/W2374024329","https://openalex.org/W2149721642","https://openalex.org/W2410941711","https://openalex.org/W2009112536","https://openalex.org/W4315488634","https://openalex.org/W1550043390","https://openalex.org/W4296713240","https://openalex.org/W2288817554","https://openalex.org/W4200188108"],"abstract_inverted_index":{"Prediction":[0,26],"of":[1,27,74],"the":[2,23,67,76,81,89,101,110],"traffic":[3,16,29,47,69,83,98,112],"information":[4,30,48],"such":[5],"as":[6],"flow,":[7],"density,":[8],"speed,":[9],"and":[10,22,71,100],"travel":[11],"time":[12],"is":[13,31,72],"important":[14],"for":[15,46],"control":[17],"systems,":[18],"optimizing":[19],"vehicle":[20,77],"operations,":[21],"individual":[24],"driver.":[25],"future":[28],"a":[32,54],"challenging":[33],"problem":[34],"due":[35],"to":[36],"many":[37],"dynamic":[38,111],"contributing":[39],"factors.":[40],"In":[41],"this":[42],"paper,":[43],"various":[44],"methodologies":[45],"prediction":[49,56,94],"are":[50],"investigated.":[51],"We":[52],"present":[53],"speed":[55,78,103],"algorithm,":[57],"NNTM-SP":[58,107],"(Neural":[59],"Network":[60],"Traffic":[61],"Modeling-Speed":[62],"Prediction)":[63],"that":[64,88,106],"trained":[65],"with":[66,80],"historical":[68],"data":[70,99],"capable":[73],"predicting":[75],"profile":[79,104],"current":[82],"information.":[84],"Experimental":[85],"results":[86,95],"show":[87],"proposed":[90],"algorithm":[91],"gave":[92],"good":[93],"on":[96],"real":[97],"predicted":[102],"shows":[105],"correctly":[108],"predicts":[109],"changes.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
