{"id":"https://openalex.org/W2033063469","doi":"https://doi.org/10.1109/icmlc.2010.5580624","title":"Traffic volume prediction based on improved Grey self-adaptable prediction formula","display_name":"Traffic volume prediction based on improved Grey self-adaptable prediction formula","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2033063469","doi":"https://doi.org/10.1109/icmlc.2010.5580624","mag":"2033063469"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5036742802","display_name":"Na Xu","orcid":"https://orcid.org/0000-0001-8141-5942"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Xu","raw_affiliation_strings":["College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China","College of Economics & Management, Hebei University of Science and Technology, Shijiazhuang 050018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]},{"raw_affiliation_string":"College of Economics & Management, Hebei University of Science and Technology, Shijiazhuang 050018, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100708912","display_name":"Xinrui Zhang","orcid":"https://orcid.org/0000-0003-1211-821X"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin-Rui Zhang","raw_affiliation_strings":["College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China","College of Economics & Management, Hebei University of Science and Technology, Shijiazhuang 050018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]},{"raw_affiliation_string":"College of Economics & Management, Hebei University of Science and Technology, Shijiazhuang 050018, China","institution_ids":["https://openalex.org/I34155123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34155123"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1027","last_page":"1030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9455999732017517,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.7575441598892212},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.7414939403533936},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.6096811890602112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904785394668579},{"id":"https://openalex.org/keywords/geodetic-datum","display_name":"Geodetic datum","score":0.5685851573944092},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5427799820899963},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44893842935562134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43945181369781494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38151001930236816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3332427442073822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22763845324516296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15528538823127747},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09491589665412903},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08413353562355042}],"concepts":[{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.7575441598892212},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.7414939403533936},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.6096811890602112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904785394668579},{"id":"https://openalex.org/C58754882","wikidata":"https://www.wikidata.org/wiki/Q1502887","display_name":"Geodetic datum","level":2,"score":0.5685851573944092},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5427799820899963},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44893842935562134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43945181369781494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38151001930236816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3332427442073822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22763845324516296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15528538823127747},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09491589665412903},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08413353562355042},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/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/icmlc.2010.5580624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311791","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2380886509"],"related_works":["https://openalex.org/W2378905382","https://openalex.org/W2033063469","https://openalex.org/W2811187992","https://openalex.org/W803509314","https://openalex.org/W2132491819","https://openalex.org/W3042921537","https://openalex.org/W4360615906","https://openalex.org/W2359189099","https://openalex.org/W335743615","https://openalex.org/W2075959792"],"abstract_inverted_index":{"Traffic":[0],"volume":[1,21,28,96,152],"prediction":[2,39,61,71,83,88,97,114,136],"is":[3,120,138],"the":[4,19,23,35,47,55,59,70,75,81,87,92,109,113,117,123,126,135],"key":[5],"approach":[6],"of":[7,25,37,125],"highway":[8],"planning":[9],"stage.":[10],"Grey":[11,38,48,76],"forecast":[12,49],"model":[13,44,78,93],"can":[14],"be":[15],"used":[16],"to":[17,68],"predict":[18],"traffic":[20,27,95,151],"under":[22],"condition":[24],"lacking":[26],"datum.":[29],"This":[30],"paper":[31],"firstly":[32],"points":[33],"out":[34],"defect":[36],"formula":[40,84,119],"in":[41,94,102,142,150],"traditional":[42,127],"GM(1,1)":[43,128],"through":[45],"analyzing":[46],"theory,":[50],"then":[51],"modifies":[52],"and":[53,112],"expands":[54],"old":[56],"formula,":[57,62],"propose":[58],"new":[60,66,82,118],"which":[63],"gives":[64],"a":[65,99],"way":[67],"improve":[69],"accuracy.":[72],"Next,":[73],"constitutes":[74],"self-adaptable":[77],"based":[79],"on":[80],"for":[85,98],"prolonging":[86],"period.":[89],"Finally,":[90],"employs":[91],"certain":[100],"station":[101],"Hebei":[103],"Province.":[104],"The":[105,130],"result":[106,124],"obtains":[107],"that":[108,134],"simulation":[110],"effect":[111],"accuracy":[115],"using":[116],"higher":[121],"than":[122],"model.":[129],"case":[131],"study":[132],"indicates":[133],"method":[137],"not":[139],"only":[140],"reasonable":[141],"theory":[143],"but":[144],"also":[145],"owns":[146],"good":[147],"application":[148],"value":[149],"prediction.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
