{"id":"https://openalex.org/W4308080798","doi":"https://doi.org/10.1109/itsc55140.2022.9922188","title":"Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model","display_name":"Prediction of Crowd Flow in Key Areas Based on a Spatial-temporal Convolutional Model","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080798","doi":"https://doi.org/10.1109/itsc55140.2022.9922188"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922188","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5101501086","display_name":"Xue Liu","orcid":"https://orcid.org/0000-0002-7854-7845"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Liu","raw_affiliation_strings":["National Institute of Standards and Technology,Boulder,CO,USA,80305"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology,Boulder,CO,USA,80305","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012730510","display_name":"Haokai Sun","orcid":"https://orcid.org/0000-0002-7777-3429"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]},{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haokai Sun","raw_affiliation_strings":["Rice University,Houston,TX,USA,77005","Department of Physics, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Houston,TX,USA,77005","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Physics, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070646736","display_name":"Rongkun Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rongkun Ye","raw_affiliation_strings":["University of Colorado,Electrical Engineering Department,Boulder,CO,USA,80309","National Research Institute for Metals, Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,Electrical Engineering Department,Boulder,CO,USA,80309","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"National Research Institute for Metals, Tsukuba, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1161","last_page":"1166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991599977016449,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991599977016449,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9125000238418579,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763568162918091},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5965536236763},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5496675372123718},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5326910018920898},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5050404667854309},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4720609784126282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4570179283618927},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4124622046947479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3917256295681},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19753193855285645},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10148748755455017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763568162918091},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5965536236763},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5496675372123718},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5326910018920898},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5050404667854309},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4720609784126282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4570179283618927},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4124622046947479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917256295681},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19753193855285645},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10148748755455017},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922188","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8700000047683716,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W4312814274","https://openalex.org/W2141327274"],"abstract_inverted_index":{"During":[0],"the":[1,3,8,13,19,28,40,59,115,125,130],"epidemic,":[2],"flow":[4,135],"and":[5,18,23,30,34,42,75,92],"aggregation":[6,31],"of":[7,15,21,32,44,70,118,133],"population":[9,60],"have":[10],"objectively":[11],"increased":[12],"risk":[14],"epidemic":[16],"transmission":[17],"difficulty":[20],"prevention":[22,41],"control.":[24],"To":[25],"further":[26],"grasp":[27],"movement":[29],"people":[33],"do":[35],"a":[36,50,109],"good":[37],"job":[38],"in":[39,62],"control":[43],"emergency":[45],"epidemics,":[46],"this":[47,122],"paper":[48],"proposes":[49],"model":[51,66,127],"based":[52],"on":[53],"spatial-temporal":[54],"convolutional":[55],"networks":[56],"to":[57,128],"predict":[58],"density":[61,88],"key":[63],"areas.":[64],"The":[65,106],"is":[67,108],"mainly":[68],"composed":[69],"Graph":[71],"Convolutional":[72],"Network":[73],"(GCN)":[74],"Gate":[76],"Recurrent":[77],"Unit":[78],"(GRU).":[79],"Compared":[80],"with":[81,102],"general":[82],"time":[83,96],"series":[84,97],"prediction":[85,89],"problems,":[86],"crowd":[87,119,134,140],"has":[90],"temporal":[91,131],"spatial":[93,116],"dependencies.":[94],"Traditional":[95],"modeling":[98],"ideas":[99],"cannot":[100],"deal":[101],"these":[103],"characteristics":[104],"effectively.":[105],"abstraction":[107],"graph":[110],"structure,":[111],"which":[112],"fully":[113],"exploits":[114],"dependence":[117],"flow.":[120],"Besides,":[121],"work":[123],"uses":[124],"GRU":[126],"extract":[129],"correlation":[132],"for":[136],"accurately":[137],"predicting":[138],"future":[139],"density.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}