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 …

This paper discusses the development of an agent-based modeling software development
kit, and the implementation and validation of a model using it that integrates dynamic …

Individual traffic significantly contributes to climate change and environmental degradation.
Therefore, innovation in sustainable mobility is gaining importance as it helps to reduce …

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

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 …

3 Design Issues 45 3.1 Structural issues...................... 46 3.1. 1 Implementation.................. 46
3.1. 2 ComputationalPerformance........... 47 3.2 FunctionalIssues..................... 50 3.2. 1 …

The movement and transport of people and goods is spatial by its very nature. Thus,
geospatial fundamentals of transport systems need to be adequately considered in transport …

The increasing volumes of road transportation contribute to congestion on road, which leads
to delays and other negative impacts on the reliability of transportation. Moreover …

Drivers receive value from traveler information in several ways, including the ability to save
time, but perhaps more important is the value of certainty as it affects other personal, social …