{"id":"https://openalex.org/W4414432598","doi":"https://doi.org/10.1109/case58245.2025.11164075","title":"An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic","display_name":"An Artificial Intelligence Approach to Manage Vehicles Motorway Entries in Congested Traffic","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W4414432598","doi":"https://doi.org/10.1109/case58245.2025.11164075"},"language":"en","primary_location":{"id":"doi:10.1109/case58245.2025.11164075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11164075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-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/A5119704138","display_name":"Antonio Salcuni","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonio Salcuni","raw_affiliation_strings":["Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125"],"affiliations":[{"raw_affiliation_string":"Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018600572","display_name":"Gaetano Volpe","orcid":"https://orcid.org/0000-0002-3939-9915"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Volpe","raw_affiliation_strings":["Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125"],"affiliations":[{"raw_affiliation_string":"Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075649674","display_name":"Agostino Marcello Mangini","orcid":"https://orcid.org/0000-0001-6850-6153"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Agostino Marcello Mangini","raw_affiliation_strings":["Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125"],"affiliations":[{"raw_affiliation_string":"Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071850448","display_name":"Maria Pia Fanti","orcid":"https://orcid.org/0000-0002-8612-1852"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Pia Fanti","raw_affiliation_strings":["Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125"],"affiliations":[{"raw_affiliation_string":"Polytechnic of Bari,Department of Electrical and Information Engineering,Bari,Italy,70125","institution_ids":["https://openalex.org/I68618741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119704138"],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27377803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2929","last_page":"2934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9711999893188477,"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":0.9711999893188477,"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/intersection","display_name":"Intersection (aeronautics)","score":0.7310000061988831},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5827000141143799},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5625},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5051000118255615},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.45829999446868896},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45179998874664307},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4117000102996826}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7310000061988831},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5625},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.49790000915527344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48240000009536743},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40529999136924744},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.3765999972820282},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.32850000262260437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28780001401901245},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C2992914290","wikidata":"https://www.wikidata.org/wiki/Q5759966","display_name":"Highway system","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case58245.2025.11164075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11164075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Efficient":[0],"traffic":[1,69,126],"management":[2],"in":[3,12,98,104,124],"high-density":[4,100],"urban":[5],"areas":[6],"is":[7,38,63,79,96],"a":[8,99],"critical":[9],"challenge,":[10],"specifically":[11],"highway":[13,32],"entry":[14],"ramps":[15,33],"and":[16,34,50,85,91,114,128],"merging":[17,101],"points.":[18],"This":[19],"paper":[20],"deals":[21],"with":[22],"the":[23,60,67,73,108,111,115,121],"problem":[24,37],"of":[25],"managing":[26,72],"vehicles":[27],"that":[28],"have":[29],"to":[30,44,65,81],"enter":[31],"intersections.":[35],"The":[36,76,118],"formulated":[39],"as":[40],"an":[41],"optimization":[42],"task":[43],"minimize":[45],"sudden":[46],"braking,":[47],"waiting":[48],"times,":[49],"collision":[51],"risks.":[52],"A":[53,93],"Deep":[54],"Reinforcement":[55],"Learning":[56],"approach":[57],"based":[58],"on":[59],"ActorCritic":[61],"framework":[62],"proposed":[64],"train":[66],"intelligent":[68],"light":[70],"agents":[71],"vehicle":[74],"entries.":[75],"reward":[77],"function":[78],"designed":[80],"dynamically":[82],"balance":[83],"safety":[84],"efficiency":[86],"by":[87],"reducing":[88],"braking":[89],"events":[90],"congestion.":[92],"simulation":[94],"campaign":[95],"performed":[97],"scenario":[102],"located":[103],"central-northern":[105],"Italy":[106],"at":[107],"intersection":[109],"between":[110],"A1":[112],"Highway":[113],"A14":[116],"Motorway.":[117],"results":[119],"demonstrate":[120],"benefits":[122],"obtained":[123],"reduced":[125],"flow":[127],"increased":[129],"safety.":[130]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}