{"id":"https://openalex.org/W4387623801","doi":"https://doi.org/10.1109/tiv.2023.3324184","title":"Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction","display_name":"Spatial-Temporal Feature Extraction and Evaluation Network for Citywide Traffic Condition Prediction","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387623801","doi":"https://doi.org/10.1109/tiv.2023.3324184"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3324184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3324184","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Spatial-temporal_feature_extraction_and_evaluation_network_for_citywide_traffic_condition_prediction/24316855","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100748494","display_name":"Liang Chu","orcid":"https://orcid.org/0000-0002-1746-5678"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chu","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-1746-5678","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023366207","display_name":"Zhuoran Hou","orcid":"https://orcid.org/0000-0002-8956-7913"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4392738231","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":"https://ror.org/00b67z867","country_code":null,"type":"facility","lineage":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoran Hou","raw_affiliation_strings":["State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-8956-7913","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]},{"raw_affiliation_string":"State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4392738231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067934887","display_name":"Jingjing Jiang","orcid":"https://orcid.org/0000-0001-7754-9147"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jingjing Jiang","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":"https://orcid.org/0000-0001-7754-9147","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085139070","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-4290-9568"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":"https://orcid.org/0000-0002-4290-9568","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449653","display_name":"Yuanjian Zhang","orcid":"https://orcid.org/0000-0001-5563-8480"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanjian Zhang","raw_affiliation_strings":["Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK"],"raw_orcid":"https://orcid.org/0000-0001-5563-8480","affiliations":[{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, U.K","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire, UK","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0703,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74834437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"9","first_page":"5377","last_page":"5391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.946399986743927,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9218999743461609,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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":0.6911839246749878},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5577853322029114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5483468770980835},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4809645712375641},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4468006491661072},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4301197826862335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4217299818992615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42170485854148865},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.42100590467453003},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.268513560295105},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1457316279411316},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11415606737136841},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.0778394341468811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911839246749878},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5577853322029114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5483468770980835},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4809645712375641},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4468006491661072},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4301197826862335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4217299818992615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42170485854148865},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.42100590467453003},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.268513560295105},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1457316279411316},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11415606737136841},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.0778394341468811},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tiv.2023.3324184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3324184","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/24316855","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Spatial-temporal_feature_extraction_and_evaluation_network_for_citywide_traffic_condition_prediction/24316855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/24316855","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Spatial-temporal_feature_extraction_and_evaluation_network_for_citywide_traffic_condition_prediction/24316855","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1979495695","https://openalex.org/W2094745488","https://openalex.org/W2612340487","https://openalex.org/W2617931713","https://openalex.org/W2756203131","https://openalex.org/W2789386460","https://openalex.org/W2889230014","https://openalex.org/W2891358191","https://openalex.org/W2900125276","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2904018695","https://openalex.org/W2920997306","https://openalex.org/W2962790412","https://openalex.org/W2965341826","https://openalex.org/W2966693752","https://openalex.org/W2976882027","https://openalex.org/W2984217383","https://openalex.org/W2991137082","https://openalex.org/W2997848713","https://openalex.org/W2998652672","https://openalex.org/W3001909761","https://openalex.org/W3023724771","https://openalex.org/W3027664001","https://openalex.org/W3035597366","https://openalex.org/W3045867723","https://openalex.org/W3081708644","https://openalex.org/W3082935815","https://openalex.org/W3092476034","https://openalex.org/W3110411816","https://openalex.org/W3151375002","https://openalex.org/W3160519952","https://openalex.org/W3168797207","https://openalex.org/W3173617463","https://openalex.org/W3206602502","https://openalex.org/W3210186059","https://openalex.org/W4205601073","https://openalex.org/W4206483199","https://openalex.org/W4280630819","https://openalex.org/W4292559694","https://openalex.org/W4294025655","https://openalex.org/W4322505699","https://openalex.org/W6726873649","https://openalex.org/W6746015598","https://openalex.org/W6773017188"],"related_works":["https://openalex.org/W4301398392","https://openalex.org/W2997818875","https://openalex.org/W4379534844","https://openalex.org/W266939152","https://openalex.org/W3103293871","https://openalex.org/W2587627203","https://openalex.org/W3178296362","https://openalex.org/W2924962435","https://openalex.org/W4205236051","https://openalex.org/W2393595964"],"abstract_inverted_index":{"Traffic":[0],"condition":[1,36,65,107,184],"prediction":[2,155,185],"is":[3,57,77,109],"crucial":[4],"for":[5,41],"executing":[6],"traffic":[7,29,35,64,70,75,94,99,106,136,183],"control":[8],"and":[9,31,53,83,126,175],"scheduling":[10],"tasks":[11],"within":[12],"intelligent":[13,42],"transportation":[14,43],"systems.":[15,44],"With":[16],"diversified":[17],"data":[18],"sources,":[19],"effectively":[20],"modeling":[21],"the":[22,27,63,68,81,91,97,121,134,161,168,176,180,187],"complex":[23],"spatial-temporal":[24,50,115,140,152,169],"dependencies":[25],"in":[26],"whole":[28,69,135],"network":[30,124,165],"predicting":[32,62],"nonlinear":[33],"general":[34],"changes":[37],"become":[38],"primary":[39],"challenges":[40],"In":[45],"this":[46],"paper,":[47],"a":[48,73,102,114,139,144],"double-layer":[49,103],"feature":[51,116,170],"extraction":[52,117,171],"evaluation":[54],"(DL-STFEE)":[55],"model":[56,112],"proposed,":[58],"aimed":[59],"at":[60],"accurately":[61],"transferring":[66],"of":[67,86,93,96,163,182],"network.":[71,100,137],"Firstly,":[72],"public":[74],"dataset":[76],"processed":[78],"to":[79,129,148],"extract":[80],"spatial":[82],"temporal":[84],"features":[85,132,150],"vehicles,":[87],"as":[88,90],"well":[89],"clusters":[92],"conditions":[95],"entire":[98],"Secondly,":[101],"deep":[104],"learning":[105],"predictor":[108],"proposed.":[110],"The":[111],"incorporates":[113],"layer,":[118],"which":[119],"leverages":[120],"graph":[122],"convolution":[123],"(GCN)":[125],"attention":[127],"mechanism":[128,147],"obtain":[130],"spatiotemporal":[131],"across":[133,151],"Additionally,":[138],"combination":[141],"layer":[142],"employs":[143],"high-dimensional":[145],"self-attention":[146],"integrate":[149],"combinations,":[153],"bolstering":[154],"accuracy.":[156],"Finally,":[157],"through":[158],"rigorous":[159],"experiments,":[160],"contributions":[162],"neural":[164],"structures":[166],"on":[167],"are":[172],"comprehensively":[173],"analyzed":[174],"experiments":[177],"also":[178],"validate":[179],"effectiveness":[181],"by":[186],"proposed":[188],"DL-STFEE":[189],"model.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}