The vision of HiDALGO’s urban air pollution application is to create cleaner air in cities by using high performance computing (HPC) and mathematical technologies. To this end, the project will provide policy makers and society with an easy-to-use computational tool as a service that accurately and quickly forecasts air pollution in cities with very high resolution. Furthermore, a traffic control system will be developed as well to minimize air pollution while considering traffic flow constraints.
In the last few years, a huge amount of people were forced to leave their homes. One of the major issues hereby is to forecast refugee movements, which would allow decision makers and NGOs to allocate humanitarian resources accordingly. To predict possible destinations of refugees coming from conflict regions, a simulation framework has been built. This framework relies on agent-based simulations and makes use of real world data from UNHCR, ACLED and Bing Maps.