{"id":"https://openalex.org/W1500650252","doi":"https://doi.org/10.1109/icsmc.2003.1244447","title":"A novel networked traffic parameter forecasting method based on Markov chain model","display_name":"A novel networked traffic parameter forecasting method based on Markov chain model","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W1500650252","doi":"https://doi.org/10.1109/icsmc.2003.1244447","mag":"1500650252"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1244447","doi":"https://doi.org/10.1109/icsmc.2003.1244447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244447","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"},"volume":null,"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/A5101570773","display_name":"Jianming Hu","orcid":"https://orcid.org/0000-0001-8065-7309","observed_orcids":["https://orcid.org/0000-0001-8065-7309"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Hu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006895341","display_name":"Jingyan Song","orcid":"https://orcid.org/0000-0001-7269-680X","observed_orcids":["https://orcid.org/0000-0001-7269-680X"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Song","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guoqiang Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Yu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036373241","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-3200-6306","observed_orcids":["https://orcid.org/0000-0002-3200-6306"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":12.0179,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98458267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"3595","last_page":"3600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9848999977111816,"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":0.9848999977111816,"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":0.011900000274181366,"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":0.0010000000474974513,"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/markov-chain-model","display_name":"Markov chain model","score":0.9779999852180481},{"id":"https://openalex.org/keywords/link-clustering","display_name":"link clustering","score":0.6439999938011169},{"id":"https://openalex.org/keywords/mixed-gaussian-distribution","display_name":"mixed Gaussian distribution","score":0.7710000276565552},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.949999988079071},{"id":"https://openalex.org/keywords/regression-prediction","display_name":"regression prediction","score":0.5180000066757202}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8217445015907288},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.737774670124054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035757303237915},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6039801836013794},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4938812851905823},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44418448209762573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4378418028354645},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4342506527900696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2655929923057556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19820210337638855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15034931898117065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14767789840698242},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1362648606300354},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1244447","doi":"https://doi.org/10.1109/icsmc.2003.1244447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1244447","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.761900007724762,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1580148563","https://openalex.org/W2090192376","https://openalex.org/W2097498150","https://openalex.org/W2121313689","https://openalex.org/W2155384241","https://openalex.org/W2403035479","https://openalex.org/W2796930440"],"related_works":["https://openalex.org/W2121313689","https://openalex.org/W2352057296","https://openalex.org/W3156248881","https://openalex.org/W7207846958","https://openalex.org/W2116027862","https://openalex.org/W2145039203","https://openalex.org/W4399075210","https://openalex.org/W6943828538","https://openalex.org/W1603076295","https://openalex.org/W7101003371"],"abstract_inverted_index":{"This":[0],"paper":[1,19],"introduces":[2],"a":[3,27],"novel":[4],"networked":[5],"traffic":[6,29,65,108],"parameter":[7],"forecasting":[8],"method.":[9,138],"Based":[10],"on":[11],"the":[12,16,18,21,38,42,49,58,64,73,87,91,95,99,106,112,115,131,136],"detailed":[13],"analysis":[14,46],"of":[15,75,110,135],"literature,":[17],"describes":[20],"fundamental":[22],"ideas.":[23],"Then":[24],"we":[25,40,56,102],"select":[26],"typical":[28],"network":[30],"in":[31,52,98,114,127],"Beijing":[32,128],"City.":[33],"In":[34],"order":[35],"to":[36,62,71,86],"simplify":[37],"problem,":[39],"classify":[41],"links":[43,51,93,97],"using":[44,121],"clustering":[45],"and":[47,82,94,133],"find":[48],"representative":[50,92],"each":[53],"group.":[54],"Furthermore,":[55],"introduce":[57],"Markov":[59],"chain":[60],"model":[61],"predict":[63],"parameter.":[66],"EM":[67],"algorithm":[68],"is":[69],"applied":[70],"estimate":[72],"parameters":[74,109],"mixed":[76],"Gaussian":[77],"distributions,":[78],"i.e.,":[79],"means,":[80],"covariances":[81],"mixing":[83],"coefficients.":[84],"According":[85],"regression":[88],"equations":[89],"between":[90],"other":[96],"same":[100],"group,":[101],"can":[103],"obtain":[104],"all":[105,111],"predicted":[107],"link":[113],"road":[116],"network.":[117],"The":[118],"case":[119],"studies":[120],"real":[122],"data":[123],"from":[124],"UTC-SCOOT":[125],"system":[126],"have":[129],"proved":[130],"effectiveness":[132],"applicability":[134],"proposed":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
