{"id":"https://openalex.org/W4405844677","doi":"https://doi.org/10.1109/tits.2024.3516761","title":"TAMHA-DDPM: A Time-Aware Multi-Head Attention Denoising Diffusion Probability Model for Fuzzy Data Optimization in Intelligent Transportation Systems","display_name":"TAMHA-DDPM: A Time-Aware Multi-Head Attention Denoising Diffusion Probability Model for Fuzzy Data Optimization in Intelligent Transportation Systems","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4405844677","doi":"https://doi.org/10.1109/tits.2024.3516761"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3516761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3516761","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/A5006181922","display_name":"Shengdong Mu","orcid":"https://orcid.org/0000-0002-2735-3565"},"institutions":[{"id":"https://openalex.org/I32377083","display_name":"Yangtze Normal University","ror":"https://ror.org/05v8v7d33","country_code":"CN","type":"education","lineage":["https://openalex.org/I32377083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengdong Mu","raw_affiliation_strings":["Collaborative Innovation Center of Green Development in the Wuling Shan Region, Yangtze Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2735-3565","affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center of Green Development in the Wuling Shan Region, Yangtze Normal University, Chongqing, China","institution_ids":["https://openalex.org/I32377083"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Boyu Liu","orcid":"https://orcid.org/0009-0002-1474-2083"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Liu","raw_affiliation_strings":["School of Innovation and Entrepreneurship, Hubei University of Economics, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0002-1474-2083","affiliations":[{"raw_affiliation_string":"School of Innovation and Entrepreneurship, Hubei University of Economics, Wuhan, China","institution_ids":["https://openalex.org/I4210099437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102506801","display_name":"Gu Jijian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116886","display_name":"Chongqing Vocational Institute of Engineering","ror":"https://ror.org/0279ehd23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116886"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jijian Gu","raw_affiliation_strings":["Chongqing Vocational College of Transportation, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Vocational College of Transportation, Chongqing, China","institution_ids":["https://openalex.org/I4210116886"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102572845","display_name":"Chaolung Lien","orcid":null},"institutions":[{"id":"https://openalex.org/I3132067926","display_name":"Krirk University","ror":"https://ror.org/04d8yqq70","country_code":"TH","type":"education","lineage":["https://openalex.org/I3132067926"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chaolung Lien","raw_affiliation_strings":["Department of Business Administration, International College, Krirk University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, International College, Krirk University, Bangkok, Thailand","institution_ids":["https://openalex.org/I3132067926"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaojie Chen","orcid":"https://orcid.org/0009-0000-9365-7535"},"institutions":[{"id":"https://openalex.org/I4210107712","display_name":"Fujian Business University","ror":"https://ror.org/01mc04w21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210107712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Chen","raw_affiliation_strings":["School of Finance, Fujian Business University, Fujian, China"],"raw_orcid":"https://orcid.org/0009-0000-9365-7535","affiliations":[{"raw_affiliation_string":"School of Finance, Fujian Business University, Fujian, China","institution_ids":["https://openalex.org/I4210107712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.213,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55444594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"10","first_page":"17587","last_page":"17600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9460999965667725,"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":0.9460999965667725,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6663850545883179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5946146845817566},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5784770250320435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37145745754241943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24797874689102173},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09571787714958191}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6663850545883179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5946146845817566},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5784770250320435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37145745754241943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24797874689102173},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09571787714958191}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3516761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3516761","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2035149165","https://openalex.org/W2115579991","https://openalex.org/W2150066425","https://openalex.org/W2773675312","https://openalex.org/W2962785568","https://openalex.org/W2998046109","https://openalex.org/W3010012151","https://openalex.org/W3019040795","https://openalex.org/W3139007160","https://openalex.org/W3169313989","https://openalex.org/W3184621130","https://openalex.org/W3215126987","https://openalex.org/W4212926421","https://openalex.org/W4294310679","https://openalex.org/W4312283221","https://openalex.org/W4312688875","https://openalex.org/W4367359683","https://openalex.org/W4367849609","https://openalex.org/W4377971342","https://openalex.org/W4385607881","https://openalex.org/W4386076486","https://openalex.org/W4386918917","https://openalex.org/W4388758949","https://openalex.org/W4389355886","https://openalex.org/W4389469347","https://openalex.org/W4391004211","https://openalex.org/W4391508423","https://openalex.org/W4394858483","https://openalex.org/W4396742638","https://openalex.org/W4399666300"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,68],"the":[1,14,33,38,42,57,72,77,83,92,97,112,121,132,139,151,154,158,181,185,193,199,207,215,222,229,240,250,258,268],"planning":[2],"and":[3,13,36,46,94,99,117,130,137,198,221,257],"decision":[4],"making":[5],"of":[6,16,85,96,142,153,165,187,201,209],"transport":[7],"systems,":[8,256],"data":[9,17,29,45,73,144,167,194,216,244,252,260],"relationships":[10],"are":[11,225,263],"complex":[12],"eigenvalues":[15],"samples":[18],"may":[19],"contain":[20],"errors,":[21],"resulting":[22],"in":[23,55,76,180,243,253,265],"traffic":[24,43],"fuzzy":[25,28,44,143,166,251],"data.":[26,231,270],"Traffic":[27],"has":[30,60],"seriously":[31],"affected":[32],"model":[34,39,89,238],"fitting":[35],"lagged":[37],"performance.":[40],"Optimising":[41],"extracting":[47],"potentially":[48],"usable":[49],"information":[50],"from":[51],"it":[52],"to":[53,65,70,228],"assist":[54],"supporting":[56],"decision-making":[58],"process":[59],"become":[61],"an":[62],"urgent":[63],"problem":[64,75],"be":[66,171],"solved.":[67],"order":[69],"solve":[71],"ambiguity":[74],"modelling":[78],"process,":[79],"this":[80],"paper":[81],"improves":[82],"structure":[84,168,195,217,261],"denoising":[86,210,235],"diffusion":[87,236],"probabilistic":[88,237],"(DDPM),":[90],"deepens":[91],"depth":[93],"width":[95],"model,":[98],"proposes":[100],"a":[101,126],"Time-Aware":[102],"Multi-Head":[103],"Attention":[104],"Denoising":[105],"Diffusion":[106],"Probability":[107],"Model":[108],"(TAMHA-DDPM).":[109],"By":[110],"integrating":[111],"attention":[113,123,128],"mechanism,":[114,129],"residual":[115,133],"block":[116,134],"affine":[118],"transformation,":[119],"replacing":[120],"original":[122,230,269],"mechanism":[124],"with":[125,267],"multiple":[127],"using":[131],"for":[135],"up-sampling":[136],"down-sampling,":[138],"model\u2019s":[140],"recognition":[141],"is":[145,177,190,196,204,212,218],"greatly":[146],"improved.":[147],"Comparison":[148],"experiments":[149],"on":[150,157],"parameters":[152],"proposed":[155],"algorithm":[156],"KITTI":[159],"dataset":[160],"show":[161],"that":[162],"different":[163],"degrees":[164],"reconstruction":[169,245],"can":[170,247],"achieved":[172],"by":[173],"parameter":[174],"adjustment,":[175],"which":[176],"also":[178],"reflected":[179],"evaluation":[182],"index.":[183],"When":[184],"number":[186,208],"noise-adding":[188],"rounds":[189,211],"about":[191,213],"200,":[192],"richer,":[197],"performance":[200],"related":[202],"indexes":[203],"better;":[205],"when":[206],"1000,":[214],"more":[219,226,264],"complete,":[220],"qualitative":[223],"results":[224,262],"close":[227],"The":[232],"time-aware":[233],"multi-attention":[234],"outperforms":[239],"existing":[241],"models":[242],"performance,":[246],"effectively":[248],"optimise":[249],"intelligent":[254],"transportation":[255],"recovered":[259],"line":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
