Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks
Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points
Trim State Discovery with Physical Constraints
The role of parents’ mobility behavior for dynamics in car availability and commute mode use
The role of parents’ mobility behavior for dynamics in car availability and commute mode use
The analysis of dynamic travel mode choice: a heterogeneous hidden Markov approach
The analysis of dynamic travel mode choice: a heterogeneous hidden Markov approach
T-DesP: Destination Prediction Based on Big Trajectory Data
Space-Object Shape Inversion via Adaptive Hamiltonian Markov Chain Monte Carlo
Space-Aware Modeling of Two-Phase Electric Charging Stations
Small area estimates of daily person-miles of travel: 2001 National Household Transportation Survey
Small area estimates of daily person-miles of travel: 2001 National Household Transportation Survey
Simultaneous Estimation of Attitude and Markov-Modeled Rate Corrections of Gyroless Spacecraft
Research on Time Delay Stability of Power System using Fault Chains and Markov Process
Reliability analysis of the IMO regulation - safe return to port
Reentry Maneuver Estimation Using Nonlinear Markov Acceleration Models
Reentry Maneuver Estimation Using Nonlinear Markov Acceleration Models
Reducing parametric uncertainty in limit-cycle oscillation computational models
Queues with Server Vacations as a Model for Pretimed Signalized Urban Traffic
Probabilistic modelling of flexible pavement distresses for network management
Pricing in vehicle sharing systems: optimization in queuing networks with product forms
Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework
Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model
Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds
Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models
OKID via Output Residuals: A Converter from Stochastic to Deterministic System Identification
Nonlinear Kalman Filtering for Improved Angles-Only Navigation Using Relative Orbital Elements
Nonlinear Kalman Filtering for Improved Angles-Only Navigation Using Relative Orbital Elements
New State Transition Matrix for Relative Motion on an Arbitrary Keplerian Orbit
New State Transition Matrix for Relative Motion on an Arbitrary Keplerian Orbit
New State Transition Matrices for Spacecraft Relative Motion in Perturbed Orbits
New State Transition Matrices for Spacecraft Relative Motion in Perturbed Orbits
New Closed-Form Solutions for Optimal Impulsive Control of Spacecraft Relative Motion
Naturalistic drive cycle synthesis for pickup trucks
Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
Markov-based model for the prediction of railway track irregularities
Learning Traffic Patterns at Small Airports From Flight Tracks
Latent stage model for carsharing usage frequency estimation with Montréal case study
Investigating railway track asset management using a Markov analysis
Infrastructure asset management system for bridge projects in South Korea
Inferring Traffic Signal Phases From Turning Movement Counters Using Hidden Markov Models
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction