Traffic flow prediction has always been the focus of research in the field of Intelligent
Transportation Systems, which is conducive to the more reasonable allocation of basic …

Traffic forecasters may find value in expressing the uncertainty of their forecasts as a range
of expected outcomes. Traditional methods for estimating such uncertainty windows rely on …

Crash forecasting enables safety planners to take appropriate actions before casualty or
loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of …

The urban environment near the road infrastructure is particularly affected by traffic
emissions. This problem is exacerbated at road junctions. The roadside concentration of …

This study investigates the transport investment decision process of judging the robustness
and viability of the selected option compared with the rejected alternatives. This paper …

This article presents a hybrid model for the continuous monitoring and prediction of the
spatio-temporal dependencies of road traffic. This model is built on the basis of training a …

This paper analyses the accuracy of Benefit-Cost Analysis (BCA) of transport projects
financed by the Asian Development Bank (ADB). Ex post evaluation of BCAs outside Europe …

Historically, forecasts of travel demand on public transit infrastructures have been found to
be optimistically biased. However, there has been a lack of data available for statistically …

Traffic forecasting can enhance the efficiency of traffic control strategies such as routing
decisions, variable speed limits, and ramp metering, resulting in a decrease in congestion …

This paper contains an investigation of the COVID-19 impacts on freight flows and the
handling of uncertainty in freight forecasting models, based on data from Greece. It collects …