29 citations · 35 across the 4 of their papers we have counts for
3 papers · 1 filter
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Yuanjie Lu, Amarda Shehu, David Lattanzi
Traffic speed forecasting is an important task in intelligent transportation system management. The objective of much of the current computational research is to minimize the diffe…
Multiple Instance Learning for Detecting Anomalies over Sequential Real-World Datasets
Parastoo Kamranfar, David Lattanzi, Amarda Shehu +1
Detecting anomalies over real-world datasets remains a challenging task. Data annotation is an intensive human labor problem, particularly in sequential datasets, where the start a…
Traffic Flow Forecasting with Maintenance Downtime via Multi-Channel Attention-Based Spatio-Temporal Graph Convolutional Networks
Yuanjie Lu, Parastoo Kamranfar, David Lattanzi +1
Forecasting traffic flows is a central task in intelligent transportation system management. Graph structures have shown promise as a modeling framework, with recent advances in sp…