Clustering driver behavior using dynamic time warping and hidden Markov model
Daily activity pattern recognition by using support vector machines with multiple classes
Optimal switching policy between driving entities in semi-autonomous vehicles
Driver intention inference with vehicle onboard sensors
Mining automatically extracted vehicle trajectory data for proactive safety analytics
The emergence of stochastic user equilibria in day-to-day traffic models
A framework for efficient dynamic routing under stochastically varying conditions
Optimal solution for a cargo revenue management problem with allotment and spot arrivals
Comparing prediction methods for maritime accidents
Comparing prediction methods for maritime accidents
Data-driven predictive maintenance scheduling policies for railways
How income satisfaction impacts driver engagement dynamics in ride-hailing services
Data-driven stochastic model for train delay analysis and prediction
Online routing and battery reservations for electric vehicles with swappable batteries
Simulation based population synthesis