{"id":"https://openalex.org/W7225734973","doi":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402","title":"A Type-2 Fuzzy Traffic Signal Control Method based on Short-Term Traffic Flow Prediction Using LSTM","display_name":"A Type-2 Fuzzy Traffic Signal Control Method based on Short-Term Traffic Flow Prediction Using LSTM","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225734973","doi":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402"},"language":"en","primary_location":{"id":"doi:10.2352/j.imagingsci.technol.2027.71.1.010402","doi":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402","is_oa":false,"landing_page_url":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402","pdf_url":null,"source":{"id":"https://openalex.org/S69196262","display_name":"Journal of Imaging Science and Technology","issn_l":"1062-3701","issn":["1062-3701","1943-3522"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4360969257","host_organization_name":"Society for Imaging Science and Technology","host_organization_lineage":["https://openalex.org/P4360969257"],"host_organization_lineage_names":["Society for Imaging Science and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Science and Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5140163856","display_name":"BI Yunrui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunrui Bi","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China","School of Automation, Nanjing Institute of Technology, Nanjing 211167, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing 211167, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388049","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7083-5802","observed_orcids":["https://orcid.org/0000-0001-7083-5802"]},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing 211167, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing 211167, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161394385","display_name":"Di Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Liu","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing 211167, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing 211167, China","institution_ids":["https://openalex.org/I2799736854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161404053","display_name":"Kun Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799736854","display_name":"Nanjing Institute of Technology","ror":"https://ror.org/00n6txq60","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799736854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Liu","raw_affiliation_strings":["School of Automation, Nanjing Institute of Technology, Nanjing 211167, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing Institute of Technology, Nanjing 211167, China","institution_ids":["https://openalex.org/I2799736854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9922000169754028,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.006500000134110451,"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/T10698","display_name":"Transportation Planning and Optimization","score":9.999999747378752e-05,"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":[],"concepts":[{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.788100004196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739799976348877},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5978000164031982},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5825999975204468},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5393000245094299},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.41019999980926514},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31189998984336853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3098999857902527},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.2971999943256378},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.2711000144481659},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/j.imagingsci.technol.2027.71.1.010402","doi":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402","is_oa":false,"landing_page_url":"https://doi.org/10.2352/j.imagingsci.technol.2027.71.1.010402","pdf_url":null,"source":{"id":"https://openalex.org/S69196262","display_name":"Journal of Imaging Science and Technology","issn_l":"1062-3701","issn":["1062-3701","1943-3522"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4360969257","host_organization_name":"Society for Imaging Science and Technology","host_organization_lineage":["https://openalex.org/P4360969257"],"host_organization_lineage_names":["Society for Imaging Science and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging Science and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2811198925","https://openalex.org/W3034465414","https://openalex.org/W3087431945","https://openalex.org/W3140382863","https://openalex.org/W3160786453","https://openalex.org/W4220899555","https://openalex.org/W4255199503","https://openalex.org/W4285593872","https://openalex.org/W4291902336","https://openalex.org/W4292133303","https://openalex.org/W4315574476","https://openalex.org/W4318195878","https://openalex.org/W4386263530","https://openalex.org/W4387422888","https://openalex.org/W4391594893","https://openalex.org/W4392251546","https://openalex.org/W4400789177","https://openalex.org/W4406271461","https://openalex.org/W4407694957","https://openalex.org/W4409800051","https://openalex.org/W4410121475","https://openalex.org/W4416746131"],"related_works":[],"abstract_inverted_index":{"Traffic":[0],"demand":[1,68,93,109,160],"at":[2],"signalized":[3],"intersections":[4],"generally":[5],"exhibits":[6],"temporal":[7],"continuity":[8],"and":[9,94,175,186,204,209,228],"short-term":[10,221],"evolution":[11],"patterns,":[12],"allowing":[13],"recent":[14,58],"traffic":[15,41,77,101,231],"observations":[16],"to":[17,66,139,162,213],"provide":[18],"useful":[19],"information":[20,97,161],"for":[21,69,104],"anticipating":[22],"near-term":[23,159],"demand.":[24],"To":[25],"improve":[26,225],"the":[27,56,70,84,100,113,117,121,135,183,190,198,226],"responsiveness":[28,227],"of":[29,61,116,230],"isolated-intersection":[30],"signal":[31,42,105,164,232],"control,":[32,217],"this":[33,96,150],"study":[34],"proposes":[35],"a":[36],"prediction-assisted":[37],"interval":[38],"type-2":[39,130,215],"fuzzy":[40,131,216],"control":[43,233],"method":[44,86],"integrating":[45],"rolling":[46],"one-step-ahead":[47],"LSTM":[48,54],"forecasting":[49,82],"with":[50,112],"queue-based":[51],"feedback.":[52,128,170],"The":[53,107],"uses":[55],"most":[57],"20":[59],"min":[60],"observed":[62,114,122],"lane-level":[63,88],"traffic-flow":[64,222],"data":[65],"predict":[67],"next":[71],"sampling":[72],"interval.":[73],"Rather":[74],"than":[75],"treating":[76],"prediction":[78,199,223],"as":[79],"an":[80,152],"independent":[81],"task,":[83],"proposed":[85],"converts":[87],"forecasts":[89],"into":[90,99],"phase-level":[91],"anticipatory":[92],"embeds":[95],"directly":[98],"state":[102,138],"used":[103],"control.":[106],"predicted":[108],"is":[110,156],"integrated":[111],"queue":[115,124,169,187,205],"active":[118],"phase,":[119],"while":[120,143,166],"next-phase":[123],"provides":[125],"complementary":[126],"traffic-state":[127,147],"Interval":[129],"inference":[132],"then":[133],"maps":[134],"resulting":[136],"observed\u2013predicted":[137],"adaptive":[140],"green-time":[141],"decisions":[142],"accommodating":[144],"uncertainty":[145],"in":[146],"representation.":[148],"In":[149],"way,":[151],"interpretable":[153],"prediction-to-control":[154],"mechanism":[155,200],"established,":[157],"enabling":[158],"influence":[163],"timing":[165],"preserving":[167],"real-time":[168],"Across":[171],"three":[172],"traffic-demand":[173],"conditions":[174],"30":[176],"paired":[177],"stochastic":[178],"runs,":[179],"LSTM-T2":[180],"consistently":[181],"achieves":[182],"best":[184],"delay":[185,203],"performance":[188],"among":[189],"compared":[191],"controllers.":[192],"Under":[193],"dynamically":[194],"varying":[195],"mild":[196],"congestion,":[197],"further":[201],"reduces":[202],"length":[206],"by":[207],"8.74%":[208],"7.09%,":[210],"respectively,":[211],"relative":[212],"conventional":[214],"demonstrating":[218],"that":[219],"incorporating":[220],"can":[224],"effectiveness":[229],"strategies.":[234]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}