{"id":"https://openalex.org/W7223665706","doi":"https://doi.org/10.5281/zenodo.23656131","title":"AI-BASED TRAFFIC CONTROLLING SYSTEM : A Literature Review of Computer Vision, Reinforcement Learning, and IoT Approaches","display_name":"AI-BASED TRAFFIC CONTROLLING SYSTEM : A Literature Review of Computer Vision, Reinforcement Learning, and IoT Approaches","publication_year":2026,"publication_date":"2026-10-26","ids":{"openalex":"https://openalex.org/W7223665706","doi":"https://doi.org/10.5281/zenodo.23656131"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23656131","doi":"https://doi.org/10.5281/zenodo.23656131","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23656131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23656131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159707752","display_name":"Tejas Pavali","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tejas Pavali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5132683826","display_name":"Supriya Survase","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prof. Supriya Survase","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.75605887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9848999977111816,"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":0.9848999977111816,"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/T13527","display_name":"Road Transport and Highway Systems","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/intelligent-traffic-control","display_name":"intelligent traffic control","score":0.8389999866485596},{"id":"https://openalex.org/keywords/adaptive-traffic-signals","display_name":"adaptive traffic signals","score":0.7799999713897705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"computer vision","score":0.6549999713897705},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.9789999723434448},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.777999997138977},{"id":"https://openalex.org/keywords/traffic-detection","display_name":"traffic detection","score":0.7350000143051147},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"traffic congestion","score":0.7300000190734863},{"id":"https://openalex.org/keywords/computational-requirements","display_name":"computational requirements","score":0.574999988079071}],"concepts":[{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6712999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64410001039505},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5491999983787537},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32409998774528503},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31150001287460327},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.296999990940094},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25690001249313354}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23656131","doi":"https://doi.org/10.5281/zenodo.23656131","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23656131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.23656132","doi":"https://doi.org/10.5281/zenodo.23656132","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23656132","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23656131","doi":"https://doi.org/10.5281/zenodo.23656131","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23656131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.8970999717712402},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7117540488","https://openalex.org/W3164135105","https://openalex.org/W4415763683","https://openalex.org/W7213460910","https://openalex.org/W7168343798","https://openalex.org/W7150119356","https://openalex.org/W2484645045","https://openalex.org/W7167914116","https://openalex.org/W7160304139","https://openalex.org/W7117764002"],"abstract_inverted_index":{"Traffic":[0],"jams":[1],"become":[2],"a":[3],"frequent":[4],"issue":[5],"in":[6,46,62,74],"rapidly":[7],"growing":[8],"cities;":[9],"however,":[10],"the":[11,28,47,75],"time-fixed":[12],"lights":[13],"do":[14],"not":[15],"adjust":[16],"properly":[17],"to":[18],"changing":[19],"car":[20],"traffic.":[21],"In":[22],"this":[23],"paper,":[24],"different":[25,82],"approaches":[26],"using":[27],"following":[29],"elements:":[30],"artificial":[31],"intelligence,":[32],"computer":[33],"vision,":[34],"reinforcement":[35],"learning,":[36,38],"deep":[37],"and":[39,59,87],"Internet":[40],"of":[41,49],"Things":[42],"have":[43],"been":[44],"discussed":[45],"field":[48],"traffic":[50,55],"control.":[51],"With":[52],"these":[53],"methods,":[54],"can":[56],"be":[57,72],"detected":[58],"adjusted":[60],"for":[61],"real":[63],"time.":[64],"However,":[65],"there":[66],"are":[67],"several":[68],"issues":[69],"which":[70],"should":[71],"resolved":[73],"future,":[76],"such":[77],"as":[78],"bad":[79],"weather":[80],"conditions,":[81],"traffic,":[83],"high":[84],"computational":[85],"requirements,":[86],"others.":[88]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2026-10-27T00:00:00"}