most citedPredicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

physics.soc-ph2021★ 6 cited

Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data

Faxi Yuan, William Mobley, Hamed Farahmand +5

The objective of this study is to predict road flooding risks based on topographic, hydrologic, and temporal precipitation features using machine learning models. Predictive flood…