| dc.contributor.author | Wang, Feng | |
| dc.contributor.author | Zhang, Yurui | |
| dc.contributor.author | Sun, Tuo | |
| dc.contributor.author | Hao, Ruochen | |
| dc.date.accessioned | 2026-08-20T20:57:32Z | |
| dc.date.available | 2026-08-20T20:57:32Z | |
| dc.date.copyright | 2026/05/25 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JTEPBS.TEENG-9452.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313731 | |
| dc.description.abstract | AbstractAccurate traffic flow prediction is fundamental for effective traffic management and
the optimization of highway systems, particularly in complex scenarios involving highway
ramps. This paper proposes a novel deep-learning method that integrates ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Variational Autoencoder–Generative Adversarial Network Traffic Prediction with Ramps | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 8 | |
| dc.journal.title | Journal of Transportation Engineering, Part A: Systems | |
| dc.identifier.doi | 10.1061/JTEPBS.TEENG-9452 | |
| dc.journal.fristpage | 04026050-1 | |
| dc.journal.lastpage | 04026050-9 | |
| dc.page | 9 | |
| dc.tree | Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008 | |
| dc.contenttype | Fulltext | |
