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
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
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-Ramps
Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees
Dynamic battery swapping and rebalancing strategies for e-bike sharing systems
RIde-hail vehicle routing (RIVER) as a congestion game
Ramp metering to maximize freeway throughput under vehicle safety constraints
Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach
Multi-stage optimization framework of satellite scheduling for large areas of interest
Intent-informed state estimation for tracking guided targets
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
A policy gradient approach to solving dynamic assignment problem for on-site service delivery
MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraints
Bayesian Reliability Analysis of the Enhanced Multimission Radioisotope Thermoelectric Generator
Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins
A high-order hidden Markov model for dynamic decision analysis of multi-homing ride-sourcing drivers
Markov Chain Model Development for Forecasting the Lisbon TMA Capacity
UAV Dynamic Trajectory Planning for Sudden Threat Detection
Strategic Deconfliction of Unmanned Aircraft Based on Hexagonal Tessellation and Integer Programming
Simulation model for analysis and evaluation of selected measures of the helicopter’s readiness
Multivariate analysis of car-following behavior data using a coupled hidden Markov model
Maneuvering penetration strategies of ballistic missiles based on deep reinforcement learning