The effectiveness of panels in detecting changes in discrete travel behavior
The non-linear dynamics of spot freight rates in tanker markets
Inherent delays and operational reliability of airline schedules
Stochastic adaptive control model for traffic signal systems
Modeling the process of information relay through inter-vehicle communication
Collective responsibility for freeway rear-ending accidents?
Statistical inference for time varying origin–destination matrices
Travel time estimation on a freeway using Discrete Time Markov Chains
Markov switching negative binomial models: An application to vehicle accident frequencies
Markov models for Bayesian analysis about transit route origin–destination matrices
The choice of statistical models in road safety countermeasure effectiveness studies in Iowa
Forecasting the effects of road user charge by stochastic agent-based modelling
Zero-state Markov switching count-data models: An empirical assessment
Markov switching multinomial logit model: An application to accident-injury severities
Probabilistic models for queues at fixed control signals
Accident prediction models with random corridor parameters
The sensitivity of estimates of regression to the mean
Collision prediction models using multivariate Poisson-lognormal regression
An evaluation of graduated driver licensing programs in North America using a meta-analytic approach
A fully Bayesian multivariate approach to before–after safety evaluation
Bayesian flexible modeling of trip durations
Risk of spacecraft on-orbit obsolescence: Novel framework, stochastic modeling, and implications
A joint-probability approach to crash prediction models
Integration of inventory and transportation decisions in a logistics system
Bayesian inference for network-based models with a linear inverse structure
Development of theoretical approaches to the control of a water-treatment system
A method to account for outliers in the development of safety performance functions
On the estimation of arterial route travel time distribution with Markov chains
Depth-based hotspot identification and multivariate ranking using the full Bayes approach
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