Human mobility estimation is crucial during the COVID-19 pandemic due to...
While deep reinforcement learning has proven to be successful in solving...
Speed-control forecasting, a challenging problem in driver behavior anal...
Quantile regression and partial frontier are two distinct approaches to
...
Quantile crossing is a common phenomenon in shape constrained nonparamet...
Traffic accident forecasting is a significant problem for transportation...
Urban dispersal events are processes where an unusually large number of
...
Neural networks are capable of learning rich, nonlinear feature
represen...