A sustainable transport infrastructure is one of the pillars of a sustainable city. However, the
literature indicates that urbanization, population growth, changes in population density, and …

Background The intersection traffic signal control problem (ITSCP) has become even more
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …

This book presents an overview of formal decision making methods for decentralized
cooperative systems. It is aimed at graduate students and researchers in the fields of …

Population is steadily increasing worldwide, resulting in intractable traffic congestion in
dense urban areas. Adaptive traffic signal control (ATSC) has shown strong potential to …

Artificial intelligence research is ushering in a new era of sophisticated, mass-market
transportation technology. While computers can already fly a passenger jet better than a …

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 …

Urban transportation system is a large complex nonlinear system. It consists of surface-way
networks, freeway networks, and ramps with a mixed traffic flow of vehicles, bicycles, and …

In many urban areas where traffic congestion does not have the peak pattern, conventional
traffic signal timing methods does not result in an efficient control. One alternative is to let …

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