原文传递 Development of a Computational Framework for Big Data-Driven Prediction of Long-Term Bridge Performance and Traffic Flow, Tech Transfer Summary.
题名: Development of a Computational Framework for Big Data-Driven Prediction of Long-Term Bridge Performance and Traffic Flow, Tech Transfer Summary.
作者: Cho, I. H.
关键词: Bridge big data, Bridge data prediction, Data merging, Data squashing, Missing data curing, Traffic data prediction
摘要: The objective of this project was to develop and validate foundational computational tools to facilitate data collection, data squashing, data merging, data curing, and data prediction that will allow practitioners and researchers to learn from past data, predict various information regarding long-term bridge performance, and conduct data-driven efficient planning of bridge management and improvement.
报告类型: 科技报告
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