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contributor authorLuo, Peihang
contributor authorParn, Erika
contributor authorKookalani, Soheila
contributor authorBrilakis, Ioannis
date accessioned2026-08-20T21:27:01Z
date available2026-08-20T21:27:01Z
date copyright2025/11/26
date issued2026
identifier otherJCCEE5.CPENG-7025.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314471
description abstractAbstractDigital twins (DTs) have emerged as a promising tool in road infrastructure management, enabling real-time monitoring, proactive maintenance, and data-driven decision making. However, existing digital twin systems primarily rely on generic, ...Practical ApplicationsMaintaining road infrastructure is essential for public safety, economic development, and efficient transportation; yet, many road maintenance systems rely on generic, one-size-fits-all alerts that do not account for the specific ...
publisherAmerican Society of Civil Engineers
titleTailorAlert: Large Language Model–Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins
typeJournal Article
journal volume40
journal issue2
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7025
journal fristpage04025154-1
journal lastpage04025154-14
page14
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
contenttypeFulltext


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