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 …

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

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 …

Increased stress, fuel consumption, air pollution, accidents and delays are some of the
consequences of traffic congestion usually incurring in tremendous economic impacts …

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 …

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 …

Continuous improvement in computing power allowed for an increase of the scales micro-
traffic models can be used at. Among them, agent-based frameworks are now appropriate …

These last years have seen the multiplication of traffic agent-based frameworks (MATSim,
SUMO...). If these frame-works are well-fitted for the study of normal traffic con-ditions, it is …

In the last decades, transport demand has increasedquickly due to several concurrent
factors. The negative impacts ofincreased demand have many effects on both travelers …

Future Urban Transport (FUT) describes all desired features that are currently being
envisaged within the umbrella of Intelligent Transportation Systems. With advances in …