This paper proposes a new model to estimate the mean and covariance of stochastic multi-
class (multiple vehicle classes) origin-destination (OD) demands from hourly classified traffic …

To bridge the gap between supply of and increasing demand for roads, public–private
partnership (PPP) concession contracts in which the investment cost is recovered via …

This paper proposes a novel dynamic tolling model based on distance and accounts for
uncertain traffic demand and supply conditions. The distance‐based tolling controller is …

In this paper, we propose a new elastic demand (ED) stochastic user equilibrium (SUE)
model with an application to the combined modal split and traffic assignment (CMSTA) …

If not properly quantified, the uncertainty inherent to transport models makes analyses based
on their output highly unreliable. This study investigated uncertainty in four-stage transport …

As the traffic demand levels continue to grow in cities, more and more transportation systems
experience instability during recurrent and non-recurrent congestion periods. Therefore …

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 …

Astrategic task assigned to large-scale transport models is to forecast the demand for
transport over long periods of time to assess transport projects. However, by modelling …

BINOCULAR TECHNICAL VISION FOR WHEELED ROBOT CONTROLLING
БИНОКУЛЯРНОЕ ТЕХНИЧЕСКОЕ ЗРЕНИЕ ДЛЯ У Page 1 TRANSPORT PROBLEMS …

Uncertainty in land use and transportation modeling has received increasing attention in the
past few years. However, methods for quantifying uncertainty in such models are usually …