A forward Markov model for predicting bicycle speed
Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution
Learning Traffic Patterns at Small Airports From Flight Tracks
Space-Object Shape Inversion via Adaptive Hamiltonian Markov Chain Monte Carlo
Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models
Accurate Real-time Map Matching for Challenging Environments
Simultaneous Estimation of Attitude and Markov-Modeled Rate Corrections of Gyroless Spacecraft
Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks
Container fleet management in closed-loop supply chains
Queues with Server Vacations as a Model for Pretimed Signalized Urban Traffic
New State Transition Matrix for Relative Motion on an Arbitrary Keplerian Orbit
New State Transition Matrix for Relative Motion on an Arbitrary Keplerian Orbit
Space-Aware Modeling of Two-Phase Electric Charging Stations
A comparison between three approaches for modelling deterioration of five pavement surfaces
The role of parents’ mobility behavior for dynamics in car availability and commute mode use
Probabilistic modelling of flexible pavement distresses for network management
City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras
A Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Heterogeneous Multiscale Method for Multirate Railway Traction Systems Analysis
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data
Energy Consumption Evaluation Based on a Personalized Driver-Vehicle Model
An Efficient Framework for Multirequest Route Planning in Urban Environments
New Closed-Form Solutions for Optimal Impulsive Control of Spacecraft Relative Motion
Reducing parametric uncertainty in limit-cycle oscillation computational models
New State Transition Matrices for Spacecraft Relative Motion in Perturbed Orbits
New State Transition Matrices for Spacecraft Relative Motion in Perturbed Orbits
Nonlinear Kalman Filtering for Improved Angles-Only Navigation Using Relative Orbital Elements
Nonlinear Kalman Filtering for Improved Angles-Only Navigation Using Relative Orbital Elements
Reentry Maneuver Estimation Using Nonlinear Markov Acceleration Models
Reentry Maneuver Estimation Using Nonlinear Markov Acceleration Models
Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model
Bayesian Traffic Light Parameter Tracking Based on Semi-Hidden Markov Models
Adaptive Transit Routing in Stochastic Time-Dependent Networks
Comparing prediction methods for maritime accidents
Research on Time Delay Stability of Power System using Fault Chains and Markov Process
A new class of doubly stochastic day-to-day dynamic traffic assignment models
Reliability analysis of the IMO regulation - safe return to port
Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model
A hybrid HMM model for travel path inference with sparse GPS samples
OKID via Output Residuals: A Converter from Stochastic to Deterministic System Identification