Research and development in the field of intelligent transportation systems (ITS) can be
costly in terms of both time and money. A significant initial and ongoing investment is often …

Driving simulators are very suitable test beds for the evaluation and development of
intelligent transportation systems (ITSs). However, the impact of such systems on the …

In transportation research, simulation technologies have acquired a huge relevance since
they permit to reproduce, under controllable conditions, different scenarios with a growing …

A challenge with predicting the in-traffic performance of Connected and Autonomous
Vehicles (CAV) is that CAV algorithms are often analyzed on a per-vehicle basis, but their …

Modeling and simulation tools are being increasingly acclaimed in the research field of
autonomous vehicles systems, as they provide suitable test beds for the development and …

Driving models are needed by many researchers to improve traffic safety and to advance
autonomous vehicle design. However, existing models of driving maneuver selection are …

This paper focuses on finding and analyzing the relevant parameters affecting traffic flow
when autonomous vehicles are introduced for ride hailing applications and autonomous …

This volume contains the proceedings of the SUMO Conference 2017 which was held from
8th to 10th May 2017 with a focus on autonomous mobility. In the current transition process …

Traffic data and human driver behaviours simulation are two of the most important
parameters for the proper implementation of a traffic simulation. In our case study, we …

The next generation of transportation systems employing advanced ITS and vehicular inter-
networking are difficult to evaluate because of their inherent complexity. Advanced control …