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 …

Complex network theory is a multidisciplinary research direction of complexity science which
has experienced a rapid surge of interest over the last two decades. Its applications in land …

Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform
and reshape the field of urban planning. However, several unanswered questions persist …

Bus operators around the world are facing the transformation of their fleets from fossil-fuelled
to electric buses. Two technologies prevail: Depot charging and opportunity charging at …

The field of energy management is an area increasingly studied. However, most solutions
are based on centralized systems and barely fulfil criterion like fault tolerance or adaptability …

Understanding the dynamics of boarding/alighting activities and its impact on bus dwell
times is crucial to improving bus service levels. However, research is limited as conventional …

Intelligent traffic management can be considered one of the most promising solutions to
contemporary traffic problems. The traffic in transportation associated with emergency …

The functioning of modern urban environments relies heavily on the public transport system.
Given spatial, economic, and sustainability criteria, public transport in larger urban areas is …

Usually, road networks are characterized by their great dynamics including different entities
in interactions. This leads to more complex road traffic management. This paper proposes …

Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of
research domains. This primer focuses on ABMS in the transportation interdisciplinary …