A novel adaptive importance sampling algorithm based on Markov chain and low-discrepancy sequence
Daily activity pattern recognition by using support vector machines with multiple classes
Simulation based population synthesis
A Bayesian approach to traffic estimation in stochastic user equilibrium networks
Dynamic data-driven local traffic state estimation and prediction
A competing Markov model for cracking prediction on civil structures
Corporate social responsibility disclosure: The case of international shipping
Optimal solution for a cargo revenue management problem with allotment and spot arrivals
Online routing and battery reservations for electric vehicles with swappable batteries
Statistical analysis and modelling of small satellite reliability
Modeling anger and aggressive driving behavior in a dynamic choice–latent variable model
A Hidden Markov Model for short term prediction of traffic conditions on freeways
The economic speed of an oceangoing vessel in a dynamic setting