The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Smart micromobility, particularly the electric (e)-scooters, has emerged as an important
ubiquitous mobility option that has proliferated within and across many cities in North …

Speed-control forecasting, a challenging problem in driver behavior analysis, aims to predict
the future actions of a driver in controlling vehicle speed such as braking or acceleration. In …

Riding bicycles with only one hand on the handlebar can severely undermine the operator's
steering capability and threaten road and transportation safety. Prior studies have exploited …

A sustainable alternative transportation mode to address growing transportation and
environmental stress is cycling, which is eco-friendly and healthy for humans. Improving the …

The ability to predict the movement of other traffic participants is crucial for ensuring safety
and comfort in shared traffic spaces. While human drivers can often identify behavioral …

Understanding and forecasting road user behaviors is an important problem for road safety,
transportation, and autonomous driving. With the advancement in technology, rich data have …