A Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized IntersectionSource: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003::page 04026001-1Author:Rizelioğlu, Mehmet
DOI: 10.1061/JCCEE5.CPENG-6780Publisher: American Society of Civil Engineers
Abstract: AbstractThis 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 ...
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| contributor author | Rizelioğlu, Mehmet | |
| date accessioned | 2026-08-20T21:25:29Z | |
| date available | 2026-08-20T21:25:29Z | |
| date copyright | 2026/01/19 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6780.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314430 | |
| description abstract | AbstractThis 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | A Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized Intersection | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6780 | |
| journal fristpage | 04026001-1 | |
| journal lastpage | 04026001-16 | |
| page | 16 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext |