{"id":"https://openalex.org/W2002782292","doi":"https://doi.org/10.1109/icnc.2010.5583711","title":"ARMA-GRNN for passenger demand forecasting","display_name":"ARMA-GRNN for passenger demand forecasting","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2002782292","doi":"https://doi.org/10.1109/icnc.2010.5583711","mag":"2002782292"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5583711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583711","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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/A5076048738","display_name":"Weiwei Gong","orcid":"https://orcid.org/0000-0003-1971-1753"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Gong","raw_affiliation_strings":["Transport and Economic Research Institute, Chinese Academy of Railway Sciences, Beijing, China","China Academy of Railway Sciences, Transport and Economic Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transport and Economic Research Institute, Chinese Academy of Railway Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]},{"raw_affiliation_string":"China Academy of Railway Sciences, Transport and Economic Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076048738"],"corresponding_institution_ids":["https://openalex.org/I4210141966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"1577","last_page":"1581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9947999715805054,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9904999732971191,"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":0.9506999850273132,"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/computer-science","display_name":"Computer science","score":0.5909304618835449},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5686167478561401},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.564049482345581},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.5624501705169678},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5587570667266846},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4936152696609497},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4557151794433594},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.44910335540771484},{"id":"https://openalex.org/keywords/demand-characteristics","display_name":"Demand characteristics","score":0.4288294315338135},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4113313853740692},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3887861967086792},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.37976962327957153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2755123972892761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17880770564079285},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.16224220395088196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1617228388786316},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13178613781929016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909304618835449},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5686167478561401},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.564049482345581},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.5624501705169678},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5587570667266846},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4936152696609497},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4557151794433594},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.44910335540771484},{"id":"https://openalex.org/C116156595","wikidata":"https://www.wikidata.org/wiki/Q1185137","display_name":"Demand characteristics","level":2,"score":0.4288294315338135},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4113313853740692},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3887861967086792},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.37976962327957153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2755123972892761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17880770564079285},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.16224220395088196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1617228388786316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13178613781929016},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2010.5583711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583711","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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":26,"referenced_works":["https://openalex.org/W1517381134","https://openalex.org/W1518455252","https://openalex.org/W1540105458","https://openalex.org/W1568918871","https://openalex.org/W1596579256","https://openalex.org/W1977333505","https://openalex.org/W1992852093","https://openalex.org/W2017424588","https://openalex.org/W2037633404","https://openalex.org/W2053118651","https://openalex.org/W2068852650","https://openalex.org/W2069508080","https://openalex.org/W2080928272","https://openalex.org/W2083235010","https://openalex.org/W2095912259","https://openalex.org/W2102204929","https://openalex.org/W2117014758","https://openalex.org/W2118020555","https://openalex.org/W2145318628","https://openalex.org/W2149723649","https://openalex.org/W2154326182","https://openalex.org/W2160607820","https://openalex.org/W2165456507","https://openalex.org/W2313953460","https://openalex.org/W2522175069","https://openalex.org/W2900277805"],"related_works":["https://openalex.org/W2379150802","https://openalex.org/W2352636987","https://openalex.org/W2378809224","https://openalex.org/W2353623321","https://openalex.org/W2366973950","https://openalex.org/W2372614270","https://openalex.org/W2355833240","https://openalex.org/W1983211489","https://openalex.org/W2326878119","https://openalex.org/W3031225824"],"abstract_inverted_index":{"Passenger":[0],"transport":[1,13],"demand":[2,43,48],"analysis":[3,80],"is":[4,29],"strategically":[5],"important":[6],"in":[7,22,53],"mastering":[8],"ever-changing":[9],"market":[10],"for":[11],"each":[12],"mode.":[14],"In":[15],"order":[16],"to":[17,31,51],"improve":[18],"the":[19,26,34,40,59,68,73,84],"predict":[20],"accuracy":[21],"complex":[23],"reality":[24],"situation,":[25],"ARMA-GRNN":[27],"technique":[28],"proposed":[30],"capture":[32],"both":[33],"linear":[35,69],"and":[36],"nonlinear":[37],"perspectives":[38],"of":[39],"intercity":[41],"passenger":[42],"forecast":[44],"problem.":[45],"Taking":[46],"flight":[47],"from":[49,67],"1991":[50],"2008":[52],"Beijing-Shanghai":[54],"corridor":[55],"as":[56],"an":[57],"example,":[58],"numerical":[60],"experiment":[61],"results":[62],"demonstrate":[63],"that":[64],"after":[65],"subtract":[66],"part":[70],"by":[71],"AR,":[72],"GRNN":[74],"network":[75],"based":[76],"on":[77],"principal":[78],"component":[79],"can":[81],"effectively":[82],"fit":[83],"non-linear":[85],"section":[86],"with":[87],"maximum":[88],"error":[89],"1.08%.":[90]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}