Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data.
Faxi YuanWilliam MobleyHamed FarahmandYuanchang XuRussell BlessingAli MostafaviSamuel D. BrodyPublished in: CoRR (2021)
Keyphrases
- fine grained
- machine learning approaches
- traffic data
- network traffic
- road network
- travel time
- road traffic
- traffic flow
- coarse grained
- machine learning methods
- traffic information
- traffic conditions
- machine learning algorithms
- machine learning
- intelligent transportation systems
- traffic congestion
- access control
- multi source
- data mining methods
- anomaly detection
- web graph
- intrusion detection
- transportation networks
- traffic management
- network security
- shortest path
- natural language processing
- moving objects
- search engine