The agent computing paradigm is rapidly emerging as one of the powerful technologies for
the development of large-scale distributed systems to deal with the uncertainty in a dynamic …

In the last few years, the number of papers devoted to applications of agent-based
technologies to traffic and transportation engineering has grown enormously. Thus, it seems …

In recent years popularity of private cars is getting urban traffic more and more crowded. As
result traffic is becoming one of important problems in big cities in all over the world. Some of …

Advanced vehicle guidance systems use real-time traffic information to route traffic and to
avoid congestion. Unfortunately, these systems can only react upon the presence of traffic …

The increasing demand for mobility in our society poses various challenges to traffic
engineering, computer science in general, and artificial intelligence and multiagent systems …

This article gives an introduction to agent-based modeling and simulation (ABMS). After a
general discussion about modeling and simulation, we address the basic concept of ABMS …

The industrialization of the world, increase in population, slow paced city development and
mismanagement of the available parking space has resulted in parking related problems …

Innovative control strategies are needed to cope with the increasing urban traffic chaos. In
most cases, the currently used strategies are based on a central traffic-responsive control …

This paper presents a car-following model that was developed using a neural network
approach for mapping perceptions to actions. The model has a similar formulation to the …

Urban mobility is not only one of the pillars of modern economic systems, but also a key
issue in the quest for equality of opportunity, once it can improve access to other services …