{"id":"https://openalex.org/W4206614401","doi":"https://doi.org/10.1109/tits.2022.3140229","title":"A Novel Spatial-Temporal Multi-Scale Alignment Graph Neural Network Security Model for Vehicles Prediction","display_name":"A Novel Spatial-Temporal Multi-Scale Alignment Graph Neural Network Security Model for Vehicles Prediction","publication_year":2022,"publication_date":"2022-01-19","ids":{"openalex":"https://openalex.org/W4206614401","doi":"https://doi.org/10.1109/tits.2022.3140229"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3140229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3140229","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","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/A5047212021","display_name":"Chunyan Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyan Diao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101594820","display_name":"Dafang Zhang","orcid":"https://orcid.org/0000-0003-0765-6857"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafang Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078519973","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-5074-1363"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","School of Computer Science and Engineering, Hunan Key Laboratory for Service Computing and Novel Software Technology, Hunan University of Science and Technology, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan Key Laboratory for Service Computing and Novel Software Technology, Hunan University of Science and Technology, Xiangtan, China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Ching Li","raw_affiliation_strings":["Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101573387","display_name":"Yujie Hong","orcid":"https://orcid.org/0000-0002-7536-6547"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Hong","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019948826","display_name":"Jean\u2010Luc Gaudiot","orcid":"https://orcid.org/0000-0001-9164-8731"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Luc Gaudiot","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047212021"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":11.5214,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.99419518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"904","last_page":"914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14280","display_name":"Big Data Technologies and Applications","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/computer-science","display_name":"Computer science","score":0.6581036448478699},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5436893701553345},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5366224050521851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4799366593360901},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4239649772644043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3205757439136505},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1738549768924713},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12114861607551575},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11514708399772644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581036448478699},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5436893701553345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5366224050521851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4799366593360901},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4239649772644043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3205757439136505},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1738549768924713},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12114861607551575},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11514708399772644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3140229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3140229","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1495880406","display_name":null,"funder_award_id":"2021JJ30141","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3938310565","display_name":null,"funder_award_id":"531118010527","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5497752695","display_name":null,"funder_award_id":"2021YFA1000600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6226816379","display_name":null,"funder_award_id":"62072170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8704805951","display_name":null,"funder_award_id":"61976087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1902237438","https://openalex.org/W1973943669","https://openalex.org/W1983883318","https://openalex.org/W2048590178","https://openalex.org/W2064675550","https://openalex.org/W2094247334","https://openalex.org/W2098487666","https://openalex.org/W2101491865","https://openalex.org/W2114224207","https://openalex.org/W2147880316","https://openalex.org/W2157331557","https://openalex.org/W2412782625","https://openalex.org/W2528639018","https://openalex.org/W2597671851","https://openalex.org/W2606202972","https://openalex.org/W2613328025","https://openalex.org/W2788134583","https://openalex.org/W2798874329","https://openalex.org/W2903871660","https://openalex.org/W2904813135","https://openalex.org/W2904832339","https://openalex.org/W2950817888","https://openalex.org/W2951927893","https://openalex.org/W2951981031","https://openalex.org/W2952624816","https://openalex.org/W2962790412","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2965341826","https://openalex.org/W2996451395","https://openalex.org/W2997299776","https://openalex.org/W2997848713","https://openalex.org/W2998436408","https://openalex.org/W2998559444","https://openalex.org/W2999073610","https://openalex.org/W3000386982","https://openalex.org/W3012562343","https://openalex.org/W3038981236","https://openalex.org/W3041454767","https://openalex.org/W3080253043","https://openalex.org/W3084616068","https://openalex.org/W3103720336","https://openalex.org/W3104953546","https://openalex.org/W3125728023","https://openalex.org/W3166324779","https://openalex.org/W3191622740","https://openalex.org/W4233713109","https://openalex.org/W4297733535","https://openalex.org/W6620673361","https://openalex.org/W6680532697","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6773017188","https://openalex.org/W6780221082","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Traffic":[0],"flow":[1],"forecasting":[2,57],"is":[3],"indispensable":[4],"in":[5,22,51,82,107],"today\u2019s":[6],"society":[7],"and":[8,36,79,94,126,183],"regarded":[9],"as":[10,19],"a":[11,46,111],"key":[12],"problem":[13],"for":[14,49],"Intelligent":[15],"Transportation":[16],"Systems":[17],"(ITS),":[18],"emergency":[20],"delays":[21],"vehicles":[23],"can":[24],"cause":[25],"serious":[26],"traffic":[27,87],"security":[28,50],"accidents.":[29],"However,":[30],"the":[31,42,66,101,121,147,155,160,173,178,187],"complex":[32,179],"dynamic":[33,67],"spatial-temporal":[34,68,113,180],"dependency":[35],"correlation":[37,69],"between":[38,77],"different":[39],"locations":[40],"on":[41],"road":[43],"make":[44,59],"it":[45],"challenging":[47,103],"task":[48],"transportation.":[52],"To":[53,99],"date,":[54],"most":[55],"existing":[56,195],"frames":[58],"use":[60],"of":[61,70],"graph":[62,115,142],"convolution":[63,116,143],"to":[64,96,145,158],"model":[65,163],"vehicle":[71],"transportation":[72],"data,":[73],"ignoring":[74],"semantic":[75,148],"similarity":[76,149],"nodes":[78],"thus,":[80],"resulting":[81],"accuracy":[83],"degradation.":[84],"In":[85],"addition,":[86],"data":[88],"does":[89],"not":[90],"strictly":[91],"follow":[92],"periodicity":[93],"hard":[95],"be":[97],"captured.":[98],"solve":[100],"aforementioned":[102],"issues,":[104],"we":[105,119,153],"propose":[106],"this":[108],"article":[109],"CRFAST-GCN,":[110],"multi-branch":[112],"attention":[114,156],"network.":[117],"First,":[118],"capture":[120,146],"multi-scale":[122],"(e.g.,":[123],"hour,":[124],"day,":[125],"week)":[127],"long-":[128],"short-term":[129],"dependencies":[130],"through":[131],"three":[132],"identical":[133],"branches,":[134],"then":[135,152],"introduce":[136],"conditional":[137],"random":[138],"field":[139],"(CRF)":[140],"enhanced":[141],"network":[144],"globally,":[150],"so":[151],"exploit":[154],"mechanism":[157],"captures":[159],"periodicity.":[161],"For":[162],"evaluation":[164],"using":[165],"two":[166],"real-world":[167],"datasets,":[168],"performance":[169],"analysis":[170],"shows":[171],"that":[172],"proposed":[174],"CRFAST-GCN":[175],"successfully":[176],"handles":[177],"dynamics":[181],"effectively":[182],"achieves":[184],"improvement":[185],"over":[186],"baselines":[188],"at":[189],"50%":[190],"(maximum),":[191],"outperforming":[192],"other":[193],"advanced":[194],"methods.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":9}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
