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dc.contributor.authorRizelioğlu, Mehmet
dc.date.accessioned2026-08-20T21:25:29Z
dc.date.available2026-08-20T21:25:29Z
dc.date.copyright2026/01/19
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-6780.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314430
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized Intersection
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue3
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6780
dc.journal.fristpage04026001-1
dc.journal.lastpage04026001-16
dc.page16
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
dc.contenttypeFulltext


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