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contributor authorTrinh, Hung Tuan
contributor authorBae, Sang-Hoon
contributor authorNguyen, Tuan Anh
contributor authorTran, Duy Quang
contributor authorNguyen, Van Bac
date accessioned2026-08-20T20:55:30Z
date available2026-08-20T20:55:30Z
date copyright2026/02/23
date issued2026
identifier otherJTEPBS.TEENG-9184.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313679
description abstractAbstractTraffic signal control is a difficult task to ensure the performance of traffic networks in major cities around the world. Multiagent reinforcement learning (MARL) is a promising approach for traffic light management. As the number of agents ...
publisherAmerican Society of Civil Engineers
titleEmploying the Mean-Field Approximation Technique in Multiagent Reinforcement Learning to Control Signalized Intersections in an Urban Network
typeJournal Article
journal volume152
journal issue5
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9184
journal fristpage04026019-1
journal lastpage04026019-13
page13
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 005
contenttypeFulltext


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