SIM-CITY: An e-Science framework for Urban Assisted Decision Support

Joris Borgdorff, Harsha Krishna, Michael H. Lees
2015 Procedia Computer Science  
Urban areas are characterised by high population densities and the resulting complex social dynamics. For urban planners to evaluate, analyse, and predict complex urban dynamics, a lot of scenarios and a large parameter space must be explored. In urban disasters, complex situations must be assessed in short notice. We propose the concept of an assisted decision support system to aid in these situations. The system interactively runs a scenario exploration, which evaluates scenarios and optimize
more » ... for desired properties. We introduce the SIM-CITY architecture to run such interactive scenario explorations and highlight a use case for the architecture, an urban fire emergency response simulation in Bangalore.
doi:10.1016/j.procs.2015.05.399 fatcat:4xzwbkgk6rfnnfolggifsxz5f4