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

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 …

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

This paper describes a highly scalable multi-modal traffic simulation platform and its case
study in Dublin city. By leveraging various sources of open and administrative data for the …

In the security domain a key problem is identifying rare behaviours of interest. Training
examples for these behaviours may or may not exist, and if they do exist there will be few …

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 …

In this article, we present roadmaps and research issues pertaining to multiagent social
simulation to illustrate the directions of technological achievements in that domain …

In this paper we describe a highly scalable multi-modal traffic simulation platform on parallel
and distributed environments ranging from multi-core or many core machines to multi-node …

Analyzing large-scale traffics by simulation needs repeating execution many times with
various patterns of scenarios or parameters. Such repeating execution brings about big …

In this article we introduce an integrated agent-based train, passenger and incident
simulation engine for data-driven incident response in urban railway networks. We model …