Special issue on dynamic models serving real-time urban transport operations

In the era of intelligent transportation systems, there is an increasing need of developing dynamic transport models to improve the realism of simulations, aiming to higher efficiency of network management interventions, as well as to more reliable real-time user information. These tasks are still today faced by operators with limited support from transport modeling with respect to the potential contribution of state-of-the-art methodologies. Moreover, great opportunities are envisaged by the availability of distributed computing, artificial intelligence and big data. Thus, new applicative solutions for transport network operators can emerge based on new modeling paradigms where dynamics play a major role in different fields, such as transit service optimization and fleet control, human travel behavior and passenger information, urban freight distribution and vehicle routing, traffic signal setting and flow forecast and highway network management and road pricing.