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
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Robust Trajectory Control for Multitarget Tracking in Proximity Operations
On the statistics of coherent vortices in incoherent environments
Extending TDL based non-WSSUS vehicle-to-everything channel model
A stochastic model for reliability analysis of periodic train timetables