As cities continue to grow and the number of vehicles on the road increases, traffic
congestion and pollution have become major issues. Fortunately, significant efforts have …

In an urban logistics system, predictions of the next destination and estimated time of arrival
(ETA) are of paramount importance for efficient resource planning of delivery fleets and for …

The purpose of this research is to provide a faster and more efficient method to determine
traffic density behavior for long-term congestion management using minimal statistical …

The development of smart technologies and the advent of new observation capabilities have
increased the availability of massive urban datasets that can greatly benefit urban studies …

To meet the challenges of the increasing demand for mobility, environmental and economic
issues, public transportation has emerged as one of the main components of sustainable …

As cities continue to grow and the number of vehicles on the road increases, traffic
congestion and pollution have become major issues. Fortunately, significant efforts have …

With the increase in the amount of vehicles and the population in big cities, problems related
to traffic jams, traffic congestion and pollution arise with it. A lot of investigation has been …

In recent times, population concentration, economic growth, and lifestyle changes have
increased the demand for traffic infrastructure at an unprecedented rate, outpacing …

This dissertation introduces original analytical methodologies for decision-making in
transportation systems. Moving away from the conventional yet burdensome simulation …