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
A hybrid HMM model for travel path inference with sparse GPS samples
A hybrid HMM model for travel path inference with sparse GPS samples
Reliability analysis of the IMO regulation - safe return to port
Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model
OKID via Output Residuals: A Converter from Stochastic to Deterministic System Identification
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer
T-DesP: Destination Prediction Based on Big Trajectory Data
Pricing in vehicle sharing systems: optimization in queuing networks with product forms
Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction
Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds