LARGE-SCALE TRAFFIC SIMULATION FOR SMART CITY PLANNING WITH MARS

Understanding individual mobility in larger cities is an important success factor for future smart cities. Related simulation scenarios incorporate enormous numbers of agents, with the disadvantage of long run times. In order to provide large-scale and multimodal traffic simulations, we developed MARS V3. Adapting the Modeling and Simulation as a Service (MSaaS) paradigm, a seamless workflow can be provided to the modeling community. An integrated domain-specific language allows model descriptions without a technical overhead. For this study, selected parts of an individual-based traffic model of the City of Hamburg, Germany, were taken as an example. The entire workflow from model development, open data integration, simulation, and result analysis will be described and evaluated. Performance was measured for local and cloud-based simulation execution for up to one million agents. First results show that this concept can be utilized for building decision support systems for smart cities in the near future.