{"id":"https://openalex.org/W3001314220","doi":"https://doi.org/10.1109/tits.2020.2966498","title":"Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network","display_name":"Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network","publication_year":2020,"publication_date":"2020-01-24","ids":{"openalex":"https://openalex.org/W3001314220","doi":"https://doi.org/10.1109/tits.2020.2966498","mag":"3001314220"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.2966498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2966498","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/A5053487836","display_name":"Bowen Du","orcid":"https://orcid.org/0000-0003-0975-2367"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Du","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0975-2367","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435942","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0002-0065-435X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0065-435X","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081275566","display_name":"Leilei Sun","orcid":"https://orcid.org/0000-0002-0157-1716"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Sun","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0157-1716","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102863611","display_name":"Junming Liu","orcid":"https://orcid.org/0000-0002-9301-0894"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junming Liu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9301-0894","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101892937","display_name":"Yanan Qiao","orcid":"https://orcid.org/0000-0003-3024-5431"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Qiao","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109299440","display_name":"Weifeng Lv","orcid":"https://orcid.org/0000-0002-7061-9509"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Lv","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7061-9509","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9206,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.96954499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":"2","first_page":"1237","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9988999962806702,"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":0.6576741337776184},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5597478747367859},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4942936897277832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4850879907608032},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48023706674575806},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.46742671728134155},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.41251906752586365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39191609621047974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33932289481163025},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17043247818946838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15026724338531494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576741337776184},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5597478747367859},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4942936897277832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4850879907608032},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48023706674575806},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.46742671728134155},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41251906752586365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39191609621047974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33932289481163025},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17043247818946838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15026724338531494},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.2966498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2966498","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/G1657734508","display_name":null,"funder_award_id":"51778033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3577923441","display_name":null,"funder_award_id":"U1811463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3655034187","display_name":null,"funder_award_id":"51822802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4768736148","display_name":null,"funder_award_id":"71901011","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1988580225","https://openalex.org/W2036785686","https://openalex.org/W2064675550","https://openalex.org/W2073640212","https://openalex.org/W2101491865","https://openalex.org/W2156206597","https://openalex.org/W2157331557","https://openalex.org/W2165835468","https://openalex.org/W2268120789","https://openalex.org/W2295598076","https://openalex.org/W2528639018","https://openalex.org/W2530386080","https://openalex.org/W2539259927","https://openalex.org/W2613331518","https://openalex.org/W2756203131","https://openalex.org/W2782791108","https://openalex.org/W2782920454","https://openalex.org/W2788134583","https://openalex.org/W2788950488","https://openalex.org/W2807894308","https://openalex.org/W2808377988","https://openalex.org/W2809366716","https://openalex.org/W2884738862","https://openalex.org/W2896686593","https://openalex.org/W2901504064","https://openalex.org/W2901862502","https://openalex.org/W2902016061","https://openalex.org/W2905224888","https://openalex.org/W2952734551","https://openalex.org/W2962790412","https://openalex.org/W2963076818","https://openalex.org/W2963124587","https://openalex.org/W2963165299","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2964145825","https://openalex.org/W2964321699","https://openalex.org/W2996451395","https://openalex.org/W3102476541","https://openalex.org/W3103720336","https://openalex.org/W3152893301","https://openalex.org/W4210257598","https://openalex.org/W4289293322","https://openalex.org/W4289366462","https://openalex.org/W6628877408","https://openalex.org/W6659849045","https://openalex.org/W6693782912","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6728547873","https://openalex.org/W6746015598","https://openalex.org/W6747337883","https://openalex.org/W6747795875","https://openalex.org/W6748555476","https://openalex.org/W6748899877","https://openalex.org/W6756413148","https://openalex.org/W6756852601","https://openalex.org/W6757374366","https://openalex.org/W6807384801"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W4321487865","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W4313906399","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Precise":[0],"traffic":[1,31,43,74,134,159],"demand":[2,32,44,75,143],"prediction":[3,33],"could":[4],"help":[5],"government":[6],"and":[7,12,39,50,90,106,136,171,174],"enterprises":[8],"make":[9],"better":[10],"management":[11],"operation":[13],"decisions":[14],"by":[15,100],"providing":[16],"them":[17],"with":[18,161],"data-driven":[19],"insights.":[20],"However,":[21],"it":[22],"is":[23,67,81,125,150],"a":[24,60,78,101,120,146],"nontrivial":[25],"effort":[26],"to":[27,36,85,113,127,137,152],"design":[28],"an":[29],"effective":[30],"method":[34],"due":[35],"the":[37,70,86,94,107,129,133,139,142,154,158,175,178,181],"spatial":[38,130],"temporal":[40],"characteristics":[41],"of":[42,47,52,72,109,116,132,141,157,180],"distributions,":[45],"dynamics":[46],"human":[48],"mobility,":[49],"impacts":[51],"multiple":[53],"environmental":[54,162],"factors.":[55,163],"To":[56],"handle":[57],"these":[58],"problems,":[59],"Dynamic":[61],"Transition":[62],"Convolutional":[63],"Neural":[64],"Network":[65],"(DTCNN)":[66],"proposed":[68,182],"for":[69],"purpose":[71],"precise":[73],"prediction.":[76],"Particularly,":[77],"transition":[79,114,122],"network":[80],"first":[82],"constructed":[83],"according":[84],"citiwide":[87],"historical":[88],"departure":[89],"arrival":[91],"records,":[92],"where":[93],"nodes":[95,111],"are":[96],"virtual":[97],"stations":[98],"discovered":[99],"density-peak":[102],"based":[103],"clustering":[104],"algorithm":[105],"edges":[108],"two":[110,117],"correspond":[112],"flows":[115],"stations.":[118],"Then,":[119],"dynamic":[121],"convolution":[123],"unit":[124],"designed":[126],"model":[128],"distributions":[131],"demands,":[135],"capture":[138],"evolution":[140],"dynamics.":[144],"Last,":[145],"unifying":[147],"learning":[148],"framework":[149],"provided":[151],"incorporate":[153],"spatiotemporal":[155],"states":[156],"demands":[160],"Experiments":[164],"have":[165],"been":[166],"conducted":[167],"on":[168],"NYC":[169],"taxi":[170],"bike-sharing":[172],"data,":[173],"results":[176],"validate":[177],"effectiveness":[179],"method.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}