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contributor authorWang, Feng
contributor authorZhang, Yurui
contributor authorSun, Tuo
contributor authorHao, Ruochen
date accessioned2026-08-20T20:57:32Z
date available2026-08-20T20:57:32Z
date copyright2026/05/25
date issued2026
identifier otherJTEPBS.TEENG-9452.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313731
description abstractAbstractAccurate 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 ...
publisherAmerican Society of Civil Engineers
titleVariational Autoencoder–Generative Adversarial Network Traffic Prediction with Ramps
typeJournal Article
journal volume152
journal issue8
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9452
journal fristpage04026050-1
journal lastpage04026050-9
page9
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008
contenttypeFulltext


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