This paper proposed an optimization problem that determines the deployment pattern of
dedicated lanes to connected autonomous vehicles (CAVs) considering the stochastic traffic …

Using an integrated land use and travel model system implemented for the Puget Sound
region in Washington state, a Bayesian Melding technique is applied to represent variations …

The development of integrated techniques to evaluate long-term urban trends is a top
priority in terms of creating a more sustainable society. In order to take a step forward from …

For the provision of efficient and high-quality public transport services in rural areas with a
low population density, the introduction of Demand Responsive Transport (DRT) services is …

This paper proposes a journey time estimator (JTE) to estimate the stochastic journey time of
each path for performance assessment in road network with uncertainty due to day-to-day …

In transportation projects, uncertainty related to the difference between forecast and actual
demand is of major interest for the decision-maker, as it can have a substantial influence on …

In this paper, we examine the network-wide impacts of speed limits on network uncertainty.
A multi-dimensional modeling approach is proposed to investigate the impacts of speed …

Few previous works integrated both uncertainty and environment disruption into traffic
network design problems (NDPs). This study aims to address this gap. First, the …

Recent empirical studies have found widespread inaccuracies in traffic forecasts despite the
fact that travel demand forecasting models have been significantly improved over the past …

There exist many facets of error and uncertainty in digital spatial information. As error or
uncertainty will not likely ever be completely eliminated, a better understanding of its impacts …