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contributor authorRizelioğlu, Mehmet
date accessioned2026-08-20T21:25:29Z
date available2026-08-20T21:25:29Z
date copyright2026/01/19
date issued2026
identifier otherJCCEE5.CPENG-6780.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314430
description abstractAbstractThis study presents a deep Q-learning optimization framework to improve the effects of novice drivers’ behavior on signalized intersection performance. The driving behavior of 70 novice drivers was collected at a signalized intersection using ...
publisherAmerican Society of Civil Engineers
titleA Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized Intersection
typeJournal Article
journal volume40
journal issue3
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6780
journal fristpage04026001-1
journal lastpage04026001-16
page16
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
contenttypeFulltext


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