Among real-system applications of AI, the field of traffic simulation makes use of a wide
range of techniques and algorithms. Especially, microscopic models of road traffic have …

Multiagent systems may be elegantly modeled and designed by enhancing the role of the
environment in which agents evolve. In particular, the environment may have the role of a …

The rapid and ever-increasing population and urban activities have imposed a massive
demand to Urban Transportation Systems (UTS). These systems were not prepared for such …

Multi-agent simulations of traffic are widely expected to become an important tool for
transportation planning in the mid-term future. This paper reports on the first steps of a …

The task of simulation of urban processes often concerns city traffic and road dynamics.
Many assumptions in an urban science may be made by analysing traffic flows and vehicle …

TraSMAPI (Traffic Simulation Manager Application Programming Interface) is designed to
provide real-time interaction with Traffic Simulators, collect relevant metrics and statistics …

Abstract Multi-Agent Systems have been widely used for traffic simulation. The modeling of
individuals allows indeed to introduce a behavioral diversity which is crucial to obtain …

Inter-vehicle communications, in the context of Intelligent Transportation Systems, will
probably bring a significant improvement in both traffic safety and efficiency. In order to …

In this chapter an agent-based traffic simulation approach is presented which sees agents
as individual traffic participants moving in an artificial environment. There is no restriction on …

Since the traffic management requires clear comprehension of the flows, especially jam
cases, researchers are encouraged to have recourse to traffic simulations. Indeed, they …