The development of smart mobility initiatives requires specialized and contextualized
policies addressing the needs and interests of many stakeholders involved. Since the …

A large-scale ensemble prediction model to predict train delays is presented. The ensemble
model uses a disparate set of models, two statistical and one simulation-based to generate …

The main goal of this paper is to summarize selected developments in the field of artificial
societies and agent-based modeling and to suggest, how this fundamentally new toolkit can …

This paper is a reminder of the danger of allowing``risk''when synchronizing a parallel
discrete-event simulation: a simulation code that runs correctly on a serial machine may …

Traffic simulation can be very computationally intensive, especially for microscopic
simulations of large urban areas (tens of thousands of road segments, hundreds of …

Resilient transportation systems enable quick evacuation, rescue, distribution of relief
supplies, and other activities for reducing the impact of natural disasters and for accelerating …

Public city administrators who have been seeking to reduce traffic congestion and pollution,
while improving livability and economic competitiveness, via increased investment in …

This paper describes highly scalable X10-based agent simulation platform called XAXIS.
XAXIS is designed to handle millions or billions of agents on recent highly distributed and …

Smart City is a complex and multidimensional concept that aims to support and help city
councils to face the challenges of growing urbanization. In this context, managing traffic and …

Using the Cloud for large-scale distributed simulations, such as agent-based traffic
simulations, sounds like a good idea, as it is possible to provision and release easily …