{"id":"https://openalex.org/W4387123684","doi":"https://doi.org/10.1109/case56687.2023.10260615","title":"A Cooperative DRL Approach for Autonomous Traffic Prioritization in Mixed Vehicles Scenarios","display_name":"A Cooperative DRL Approach for Autonomous Traffic Prioritization in Mixed Vehicles Scenarios","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387123684","doi":"https://doi.org/10.1109/case56687.2023.10260615"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th 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/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":["Department of Electrical and Information Engineering, Polytechnic of Bari,Bari,Italy,70125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Polytechnic of Bari,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":["Department of Electrical and Information Engineering, Polytechnic of Bari,Bari,Italy,70125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Polytechnic of Bari,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":["Department of Electrical and Information Engineering, Polytechnic of Bari,Bari,Italy,70125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Information Engineering, Polytechnic of Bari,Bari,Italy,70125","institution_ids":["https://openalex.org/I68618741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":0.3397,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58375087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/intersection","display_name":"Intersection (aeronautics)","score":0.827477753162384},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.7739790081977844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095638513565063},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6614681482315063},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6573159098625183},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5551502704620361},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.5438053011894226},{"id":"https://openalex.org/keywords/traffic-conflict","display_name":"Traffic conflict","score":0.540755033493042},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4701649844646454},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.28367674350738525},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23733609914779663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23597094416618347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18039017915725708},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.14971408247947693}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.827477753162384},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.7739790081977844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095638513565063},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6614681482315063},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6573159098625183},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5551502704620361},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.5438053011894226},{"id":"https://openalex.org/C178944661","wikidata":"https://www.wikidata.org/wiki/Q7832489","display_name":"Traffic conflict","level":4,"score":0.540755033493042},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4701649844646454},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.28367674350738525},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23733609914779663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23597094416618347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18039017915725708},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.14971408247947693},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case56687.2023.10260615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2210803437","https://openalex.org/W2579911499","https://openalex.org/W2736601468","https://openalex.org/W2811374584","https://openalex.org/W2961154203","https://openalex.org/W3127561923","https://openalex.org/W3204088480","https://openalex.org/W3208318515","https://openalex.org/W4205294961","https://openalex.org/W4205848135","https://openalex.org/W4210432225","https://openalex.org/W4210694463","https://openalex.org/W4226071977","https://openalex.org/W4285154021","https://openalex.org/W4309374655","https://openalex.org/W4315488901","https://openalex.org/W6752963931"],"related_works":["https://openalex.org/W4390945665","https://openalex.org/W1973453815","https://openalex.org/W2325560510","https://openalex.org/W233588157","https://openalex.org/W2952870481","https://openalex.org/W2426533900","https://openalex.org/W1663823295","https://openalex.org/W2348579763","https://openalex.org/W2327382193","https://openalex.org/W3161289260"],"abstract_inverted_index":{"The":[0,145],"number":[1],"of":[2,23,69,123,128,148,167,189],"connected":[3,29,111,136],"and":[4,28,30,45,57,119,134,142,160,182,186],"automated":[5,31,46,112],"vehicles":[6,32,47,133,137],"in":[7,13,80,172],"urban":[8],"areas":[9],"will":[10,33],"gradually":[11],"increase":[12],"the":[14,40,50,70,105,124,168,179,184,187,190],"near":[15],"future.":[16],"As":[17],"a":[18,36,88],"consequence,":[19],"mixed":[20],"traffic":[21,52,59,93,177],"made":[22,127],"both":[24],"regular":[25,132],"human-":[26],"driven":[27],"likely":[34],"be":[35],"typical":[37],"scenario":[38],"over":[39],"next":[41],"few":[42],"years.":[43],"Connected":[44],"can":[48],"benefit":[49],"whole":[51],"experience":[53],"by":[54,98],"preventing":[55],"collisions":[56,159],"optimizing":[58],"waves.":[60],"In":[61,83,104],"this":[62,84],"context,":[63],"unsignalized":[64,96],"intersection":[65,162],"management":[66],"is":[67,151],"one":[68],"most":[71],"critical":[72],"challenge.":[73],"However,":[74],"it":[75],"has":[76,120],"received":[77],"less":[78],"attention":[79],"recent":[81],"literature.":[82],"paper,":[85],"we":[86],"introduce":[87],"novel":[89],"approach":[90,181],"to":[91,152,155],"optimize":[92,161],"flow":[94],"at":[95],"intersections":[97],"using":[99],"cooperative":[100],"deep":[101],"reinforcement":[102],"learning.":[103],"proposed":[106],"multi-":[107],"agent":[108,118,150],"strategy,":[109],"each":[110,149],"vehicle":[113],"(CAV)":[114],"acts":[115],"as":[116,140],"an":[117],"partial":[121],"observability":[122],"current":[125],"state":[126],"other":[129],"CAV":[130],"s,":[131],"priority":[135,156],"(CPV),":[138],"such":[139],"ambulances":[141],"police":[143],"cars.":[144],"ultimate":[146],"goal":[147],"give":[153],"right-of-way":[154],"vehicles,":[157],"prevent":[158],"crossing":[163],"time.":[164],"Experimental":[165],"results":[166],"simulations":[169],"carried":[170],"out":[171],"SUMO":[173],"on":[174],"randomly":[175],"generated":[176],"validate":[178],"presented":[180],"show":[183],"performance":[185],"safety":[188],"final":[191],"trained":[192],"policy.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
