Show simple item record

Connected Car-Based Pavement Roughness Prediction Using CNN Model and Signal Decomposition Technique

dc.contributor.authorShangguan, Lingxiao
dc.contributor.authorLu, Guoyang
dc.contributor.authorWu, Zhe
dc.contributor.authorXu, Zijun
dc.contributor.authorLi, Hanxi
dc.date.accessioned2026-08-20T21:25:36Z
dc.date.available2026-08-20T21:25:36Z
dc.date.copyright2025/08/20
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6782.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314433
dc.description.abstractAbstractAccurate pavement roughness assessment is critical for effective pavement management. Connected car data provides a cost-effective way to predict the pavement roughness based on the acceleration data. This paper proposes a novel prediction model ...
dc.publisherAmerican Society of Civil Engineers
dc.titleConnected Car-Based Pavement Roughness Prediction Using CNN Model and Signal Decomposition Technique
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6782
dc.journal.fristpage04025099-1
dc.journal.lastpage04025099-13
dc.page13
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


Files in this item

Thumbnail
Name:
JCCEE5.CPENG-6782.pdf
Size:
1.632Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record