{"id":"https://openalex.org/W4406620020","doi":"https://doi.org/10.1145/3704814.3706586","title":"Bidirectional Dual-Cell Recurrent Neural Networks for Traffic Flow Prediction","display_name":"Bidirectional Dual-Cell Recurrent Neural Networks for Traffic Flow Prediction","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4406620020","doi":"https://doi.org/10.1145/3704814.3706586"},"language":"en","primary_location":{"id":"doi:10.1145/3704814.3706586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704814.3706586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer Science and Application Engineering","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":null,"display_name":"ZeYang Li","orcid":"https://orcid.org/0009-0008-7976-6573"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZeYang Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0008-7976-6573","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113048075","display_name":"Zhi-Fei Yang","orcid":"https://orcid.org/0000-0002-9108-6318"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhiFei Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0000-0002-9108-6318","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jia Zhang","orcid":"https://orcid.org/0009-0008-4104-8509"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0009-0008-4104-8509","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"149","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9884999990463257,"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":0.9884999990463257,"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/T10320","display_name":"Neural Networks and Applications","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9491999745368958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833292841911316},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6561381816864014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5437804460525513},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.41076135635375977},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.41048118472099304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33535024523735046},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31607937812805176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833292841911316},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6561381816864014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5437804460525513},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41076135635375977},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.41048118472099304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33535024523735046},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31607937812805176},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704814.3706586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704814.3706586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4390612216","https://openalex.org/W4394844796","https://openalex.org/W4400609910"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2969450769"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,22,99],"prediction":[2],"is":[3],"a":[4],"key":[5],"issue":[6],"in":[7,81],"urban":[8,15,102],"traffic":[9,18,21,98,103],"management,":[10],"providing":[11],"important":[12],"support":[13],"for":[14],"planning":[16],"and":[17,29,56,69,91,101],"diversion.":[19],"In":[20],"prediction,":[23],"LSTM":[24,68],"(Long":[25],"Short-Term":[26],"Memory":[27],"networks)":[28],"GRU":[30,70],"(Gated":[31],"Recurrent":[32],"Units)":[33],"capture":[34],"temporal":[35],"information":[36],"with":[37],"different":[38],"focuses,":[39],"but":[40],"single-cell":[41],"candidate":[42,71],"states":[43,72],"often":[44],"lack":[45],"full":[46],"feature":[47],"aggregation,":[48],"limiting":[49],"model":[50],"performance.":[51],"Challenges":[52],"include":[53],"long-term":[54],"dependencies":[55],"large-scale":[57],"data":[58],"processing.":[59],"This":[60],"paper":[61],"proposes":[62],"an":[63],"innovative":[64],"dual-gating":[65],"mechanism":[66],"integrating":[67],"to":[73],"enhance":[74],"accuracy.":[75],"Experimental":[76],"results":[77],"show":[78],"significant":[79],"outperformance":[80],"Mean":[82,87,92],"Absolute":[83,93],"Error":[84,89,95],"(MAE),":[85],"Root":[86],"Square":[88],"(RMSE),":[90],"Percentage":[94],"(MAPE),":[96],"improving":[97],"predictions":[100],"management.":[104]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}