{"id":"https://openalex.org/W3166861698","doi":"https://doi.org/10.1155/2021/5579451","title":"The Traffic Flow Prediction Method Using the Incremental Learning-Based CNN-LTSM Model: The Solution of Mobile Application","display_name":"The Traffic Flow Prediction Method Using the Incremental Learning-Based CNN-LTSM Model: The Solution of Mobile Application","publication_year":2021,"publication_date":"2021-05-31","ids":{"openalex":"https://openalex.org/W3166861698","doi":"https://doi.org/10.1155/2021/5579451","mag":"3166861698"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5579451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5579451","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5579451.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2021/5579451.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005263063","display_name":"Yanli Shao","orcid":"https://orcid.org/0000-0002-3238-5430"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Shao","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-3238-5430","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050531899","display_name":"Yiming Zhao","orcid":"https://orcid.org/0000-0002-1880-0116"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Zhao","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-1880-0116","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698032","display_name":"Feng Yu","orcid":"https://orcid.org/0000-0003-3908-5438"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yu","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0003-3908-5438","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707661","display_name":"Huawei Zhu","orcid":"https://orcid.org/0000-0003-4098-211X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huawei Zhu","raw_affiliation_strings":["School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, China"],"raw_orcid":"https://orcid.org/0000-0003-4098-211X","affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082765502","display_name":"Jinglong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinglong Fang","raw_affiliation_strings":["Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-3560-4926","affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082765502"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.5198,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88056532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"16"},"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/T10524","display_name":"Traffic control and management","score":0.9887999892234802,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9861000180244446,"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":0.8890739679336548},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6629776358604431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961101055145264},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5766334533691406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5624954700469971},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4904772937297821},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48331570625305176},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47705593705177307},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.46536970138549805},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4561457335948944},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.44470253586769104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4433257579803467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3337336778640747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8890739679336548},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6629776358604431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961101055145264},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5766334533691406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5624954700469971},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4904772937297821},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48331570625305176},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47705593705177307},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46536970138549805},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4561457335948944},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.44470253586769104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4433257579803467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3337336778640747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/5579451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5579451","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5579451.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:36c8e3f867e5466691a9bb6a56c733b9","is_oa":true,"landing_page_url":"https://doaj.org/article/36c8e3f867e5466691a9bb6a56c733b9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5579451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5579451","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/5579451.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G1353038922","display_name":null,"funder_award_id":"LY20F020015","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1937039584","display_name":null,"funder_award_id":"JCKY2019415C001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1999361956","display_name":null,"funder_award_id":"61902345","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2190165638","display_name":null,"funder_award_id":"JCKY2019415C001","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G2934698542","display_name":"\u9762\u5411\u4ea7\u54c1\u654f\u6377\u5f00\u53d1\u7684\u591a\u6a21\u6001\u8bbe\u8ba1\u6570\u636e\u5229\u7528\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G385385531","display_name":null,"funder_award_id":"61772525","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G4586133978","display_name":null,"funder_award_id":"61702517","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4747491990","display_name":null,"funder_award_id":"61702517","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5068192001","display_name":null,"funder_award_id":"LY20F020015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5506596305","display_name":null,"funder_award_id":"61902345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5970267662","display_name":null,"funder_award_id":"61902345","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G6115929871","display_name":null,"funder_award_id":"61772525","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6544901451","display_name":null,"funder_award_id":"LY20F020015","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G7447745436","display_name":null,"funder_award_id":"61702517","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G7993158670","display_name":null,"funder_award_id":"JCKY2019415C001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8092751400","display_name":"\u9762\u5411\u7535\u4fe1\u7528\u6237\u7fa4\u4f53\u4ea4\u4e92\u5927\u6570\u636e\u7684\u4e8b\u4ef6\u7ebf\u7d22\u5728\u7ebf\u6d8c\u73b0\u4e0e\u9884\u5224\u7814\u7a76","funder_award_id":"61772525","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8331056016","display_name":null,"funder_award_id":"61972121","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G8699681321","display_name":null,"funder_award_id":"61972121","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3166861698.pdf","grobid_xml":"https://content.openalex.org/works/W3166861698.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1973943669","https://openalex.org/W1984969638","https://openalex.org/W1998452184","https://openalex.org/W2015366158","https://openalex.org/W2036785686","https://openalex.org/W2041609516","https://openalex.org/W2061062671","https://openalex.org/W2076246037","https://openalex.org/W2082533141","https://openalex.org/W2083238230","https://openalex.org/W2097117768","https://openalex.org/W2108196201","https://openalex.org/W2126687488","https://openalex.org/W2140051110","https://openalex.org/W2145039203","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2516936571","https://openalex.org/W2528639018","https://openalex.org/W2593182953","https://openalex.org/W2618530766","https://openalex.org/W2730803947","https://openalex.org/W2758219826","https://openalex.org/W2783957729","https://openalex.org/W2803857835","https://openalex.org/W2889230014","https://openalex.org/W2902844608","https://openalex.org/W2913894912","https://openalex.org/W2937054116","https://openalex.org/W3004584189","https://openalex.org/W3033429809","https://openalex.org/W3089727447","https://openalex.org/W3118879517","https://openalex.org/W3171935930","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W2973192971","https://openalex.org/W4390341805","https://openalex.org/W4390987329","https://openalex.org/W3069032","https://openalex.org/W4210448965","https://openalex.org/W2361581724"],"abstract_inverted_index":{"With":[0],"the":[1,6,9,39,52,55,58,62,134,141,144,161,166,171,179,183,187,202,215,236],"acceleration":[2],"of":[3,11,41,57,140,165,181,189,204],"urbanization":[4],"and":[5,15,27,61,77,83,96,127,137,185,193],"increase":[7,56],"in":[8,38,68,112,197,222,241],"number":[10],"motor":[12],"vehicles,":[13],"more":[14,16],"social":[17],"problems":[18],"such":[19],"as":[20,150],"traffic":[21,29,109,157,199,232,243],"congestion":[22],"have":[23,226],"emerged.":[24],"Accordingly,":[25],"efficient":[26],"accurate":[28],"flow":[30,110,233,244],"prediction":[31,111,135,138,216,220,234],"has":[32],"become":[33],"a":[34],"research":[35],"hot":[36],"spot":[37],"field":[40],"intelligent":[42],"transportation.":[43],"However,":[44],"traditional":[45,167],"machine":[46],"learning":[47,64,80,169,173,207,210],"algorithms":[48,65],"cannot":[49],"further":[50],"optimize":[51],"model":[53,120,162,184,217,238],"with":[54,208,230],"data":[59],"scale,":[60],"deep":[63,79],"perform":[66],"poorly":[67],"mobile":[69],"application":[70],"or":[71],"real-time":[72,191],"application;":[73],"how":[74],"to":[75,124,132,154,177,213,218],"train":[76],"update":[78],"models":[81],"efficiently":[82],"accurately":[84],"is":[85,106,122,148,175,211],"still":[86],"an":[87,100,151],"urgent":[88],"problem":[89],"since":[90],"they":[91],"require":[92],"huge":[93],"computation":[94],"resources":[95],"time":[97],"costs.":[98],"Therefore,":[99],"incremental":[101,172,206],"learning-based":[102],"CNN-LTSM":[103],"model,":[104],"IL-TFNet,":[105],"proposed":[107,212],"for":[108],"this":[113],"study.":[114],"The":[115],"lightweight":[116],"convolution":[117],"neural":[118],"network-based":[119],"architecture":[121],"designed":[123],"process":[125],"spatiotemporal":[126],"external":[128],"environment":[129],"features":[130],"simultaneously":[131],"improve":[133,219],"performance":[136,192],"efficiency":[139],"model.":[142],"Especially,":[143],"K-means":[145],"clustering":[146],"algorithm":[147,174],"applied":[149,176],"uncertainty":[152],"feature":[153],"extract":[155],"unknown":[156],"accident":[158],"information.":[159],"During":[160],"training,":[163],"instead":[164],"batch":[168],"algorithm,":[170],"reduce":[178],"cost":[180],"updating":[182],"satisfy":[186],"requirements":[188],"high":[190],"low":[194],"computational":[195],"overhead":[196],"short-term":[198,242],"prediction.":[200,245],"Furthermore,":[201],"idea":[203],"combining":[205],"active":[209],"fine-tune":[214],"accuracy":[221],"special":[223],"situations.":[224],"Experiments":[225],"proved":[227],"that":[228],"compared":[229],"other":[231],"models,":[235],"IL-TFNet":[237],"performs":[239],"well":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
