4 papers · 1 filter
IBAD: Interpretable Behavioral Anomaly Detection on Human Mobility Data
Bita Azarijoo, John Krumm, Cyrus Shahabi
Human mobility appears highly diverse, yet much of a person's daily mobility can be explained by a small set of recurring behavioral templates, such as commuting, school-centered a…
NEXICA: Discovering Road Traffic Causality (Extended arXiv Version)
Siddharth Srikanth, John Krumm, Jonathan Qin
Road traffic congestion is a persistent problem. Focusing resources on the causes of congestion is a potentially efficient strategy for reducing slowdowns. We present NEXICA, an al…
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
Maria Despoina Siampou, Jialiang Li, John Krumm +2
Encoding geospatial objects is fundamental for geospatial artificial intelligence (GeoAI) applications, which leverage machine learning (ML) models to analyze spatial information.…
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
Shang-Ling Hsu, Emmanuel Tung, John Krumm +2
Human mobility modeling from GPS-trajectories and synthetic trajectory generation are crucial for various applications, such as urban planning, disaster management and epidemiology…