{"id":"https://openalex.org/W4415117272","doi":"https://doi.org/10.32604/cmc.2025.068330","title":"Deep Multi-Agent Stochastic Optimization for Traffic Management in IoT-Enabled Transportation Networks","display_name":"Deep Multi-Agent Stochastic Optimization for Traffic Management in IoT-Enabled Transportation Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415117272","doi":"https://doi.org/10.32604/cmc.2025.068330"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.068330","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068330","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.068330","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015556666","display_name":"Nada Alasbali","orcid":"https://orcid.org/0000-0003-2541-7876"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nada Alasbali","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015556666"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32740132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"3","first_page":"4943","last_page":"4958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8471999764442444,"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":0.8471999764442444,"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"}},{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.7806000113487244,"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/T10763","display_name":"Digital Transformation in Industry","score":0.7376999855041504,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/component","display_name":"Component (thermodynamics)","score":0.6960999965667725},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6201000213623047},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5698000192642212},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5083000063896179},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.504800021648407},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.49129998683929443},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.46709999442100525},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.37950000166893005}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6960999965667725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585000157356262},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.49129998683929443},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.46709999442100525},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37310001254081726},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3626999855041504},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.3118000030517578},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.30250000953674316},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.29789999127388},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C21810127","wikidata":"https://www.wikidata.org/wiki/Q583342","display_name":"Three-phase traffic theory","level":4,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.068330","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068330","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.068330","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.068330","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1986928131","https://openalex.org/W2747158158","https://openalex.org/W2960280836","https://openalex.org/W2983222944","https://openalex.org/W3082273522","https://openalex.org/W3143155580","https://openalex.org/W3197337499","https://openalex.org/W3205117227","https://openalex.org/W3215339282","https://openalex.org/W4200600485","https://openalex.org/W4206067390","https://openalex.org/W4210432373","https://openalex.org/W4223992687","https://openalex.org/W4293077538","https://openalex.org/W4296690332","https://openalex.org/W4321597926","https://openalex.org/W4361205259","https://openalex.org/W4382364507","https://openalex.org/W4387264595","https://openalex.org/W4387448538","https://openalex.org/W4388286164","https://openalex.org/W4390480756","https://openalex.org/W4391952703","https://openalex.org/W4393032752","https://openalex.org/W4396758988","https://openalex.org/W4399801004","https://openalex.org/W4403407892","https://openalex.org/W4403707454","https://openalex.org/W4406650808","https://openalex.org/W4411962926"],"related_works":[],"abstract_inverted_index":{"Intelligent":[0],"Traffic":[1],"Management":[2],"(ITM)":[3],"has":[4],"progressively":[5],"developed":[6],"into":[7],"a":[8,97],"critical":[9],"component":[10,53],"of":[11,57,84],"modern":[12],"transportation":[13,49,104],"networks,":[14],"significantly":[15],"enhancing":[16],"traffic":[17,58],"flow":[18],"and":[19,39,64,66,79],"reducing":[20],"congestion":[21],"in":[22,48,103],"urban":[23],"environments.":[24],"This":[25],"research":[26],"proposes":[27],"an":[28],"enhanced":[29],"framework":[30,95],"that":[31,92],"leverages":[32],"Deep":[33],"Q-Learning":[34],"(DQL),":[35],"Game":[36],"Theory":[37],"(GT),":[38],"Stochastic":[40],"Optimization":[41],"(SO)":[42],"to":[43,87],"tackle":[44],"the":[45,55,75,93],"complex":[46],"dynamics":[47],"networks.":[50,105],"The":[51],"DQL":[52],"utilizes":[54],"distribution":[56],"conditions":[59],"for":[60,100],"epsilon-greedy":[61],"policy":[62],"formulation":[63],"action":[65],"choice":[67],"reward":[68],"calculation,":[69],"ensuring":[70],"resilient":[71],"decision-making.":[72],"GT":[73],"models":[74],"interaction":[76],"between":[77],"vehicles":[78],"intersections":[80],"through":[81],"probabilistic":[82],"distributions":[83],"various":[85],"features":[86],"enhance":[88],"performance.":[89],"Results":[90],"demonstrate":[91],"proposed":[94],"is":[96],"scalable":[98],"solution":[99],"dynamic":[101],"optimization":[102]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-14T00:00:00"}
