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
Intelligent Decision-Making Algorithm for UAV Swarm Confrontation Jamming: An M2AC-Based Approach
Intelligent Control Strategy for Robotic Manta via CPG and Deep Reinforcement Learning
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
On the statistics of coherent vortices in incoherent environments
Extending TDL based non-WSSUS vehicle-to-everything channel model
The Construction of Xi’an Urban Bus Driving Cycle: A Case Study
A stochastic model for reliability analysis of periodic train timetables
Data-driven stochastic model for train delay analysis and prediction
How income satisfaction impacts driver engagement dynamics in ride-hailing services
Dynamic battery swapping and rebalancing strategies for e-bike sharing systems
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-Ramps
Trajectory Synthesis for the Coordinated Inspection of a Spacecraft with Safety Guarantees
Intent-informed state estimation for tracking guided targets
Digital twins composition in smart manufacturing via Markov decision processes
Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards
Ramp metering to maximize freeway throughput under vehicle safety constraints
RIde-hail vehicle routing (RIVER) as a congestion game
Multi-stage optimization framework of satellite scheduling for large areas of interest
A policy gradient approach to solving dynamic assignment problem for on-site service delivery
MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraints
Compressed Sensing-Based Genetic Markov Localization for Mobile Transmitters
Determining the Probability of Unproductive Manipulations in Inland Intermodal Terminal Operations