Comparative studies of Markov chain-based driving cycles for light-duty vehicles
Longitudinal analysis of public transport usage by older people using a latent Markov model
Modelling changes in travel behaviour mechanisms through a high-order hidden Markov model
Approximate optimal energy management with a high-precision vehicle speed prediction algorithm
Autonomous Maneuver Planning for Small-Body Reconnaissance via Reinforcement Learning
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Autonomous Small Body Science Operations Using Reinforcement Learning
Cooperative Mission Planning Using Rollout Policy Optimization
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Robust Trajectory Control for Multitarget Tracking in Proximity Operations
A stochastic model for reliability analysis of periodic train timetables
How income satisfaction impacts driver engagement dynamics in ride-hailing services
Data-driven stochastic model for train delay analysis and prediction