A statistical operating cycle description for prediction of road vehicles’ energy consumption
A Stochastic Dilemma Zone Protection Algorithm Based on the Vehicles’ Trajectories
A stochastic model for reliability analysis of periodic train timetables
A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations
Asynchronous Quantized Control for Markov Switching Systems with Channel Fading
A threshold-regression model for track geometry degradation
Attack Impact and Misbehavior Detection in Vehicular Platoons
Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection
Autonomous Maneuver Planning for Small-Body Reconnaissance via Reinforcement Learning
Autonomous Separation Assurance with Deep Multi-Agent Reinforcement Learning
Autonomous Small Body Science Operations Using Reinforcement Learning
Availability analysis of subsea blowout preventer using Markov model considering demand rate
Awareness of Road Scene Participants for Autonomous Driving
Bayesian approach in estimating the road grade impact on vehicle speed and acceleration on freeways