Abstract Agent Based Modelling (ABM) is an approach for modelling dynamic systems and
studying complex and emergent behaviour. ABMs have been widely applied in diverse …

Understanding how people view and interact with autonomous vehicles is important to guide
future directions of research. One such way of aiding understanding is through simulations …

Demand for high performance road network simulation is increasing due to the need for
improved traffic management to cope with the globally increasing number of road vehicles …

Real-time large-scale crowd simulations with realistic behavior, are important for many
application areas. On CPUs, the ORCA pedestrian steering model is often used for agent …

We propose a new approach for using GPUs in large scale simulations of pedestrian
evacuation. The Social Distances Model is designed for efficient modeling of pedestrian …

We introduce a global scale parallel python modeling platform alongside an example global
migration model. Our goals focus on improving social scientist access to computationally …

Modelling and simulation are concerned with getting information pertaining to the behaviour
of a system, without actually testing it in the real-life. It plays a very important role in …

Abstract Agent Based Modelling (ABM) systems have become a popular technique for
describing complex and dynamic systems. ABM is the simulation of intelligent agents and …

Abstract AGENT-BASED MODELLING (ABM) IS PARTICULARLY SUITABLE for aiding
analysis and producing in-sight in a range of domains where systems have constituent …

Central to simulating pedestrian crowds is their motion and behaviour. It is required to
understand how pedestrians move to simulate and predict scenarios with crowds of people …