Simulating smart cities with DEUS

Smart cities are envisioned to generate and consume overwhelming amount of data which can be harnessed to provide relevant information about their status so as to enhance the security and lifestyle of their citizens. Discrete event simulation is a powerful means to aid the design of the enabling ICT infrastructure for smart cities, in particular as a tool to predict the impact on user behaviors to the purpose of improving key urban business processes. Our general-purpose simulation environment, called DEUS, may well be a suitable candidate for coping with such type of analysis. In this paper we illustrate how DEUS has been used to simulate the effects of a peer-to-peer traffic information system, using a realistic mobility model applied to a medium/large city. The core engine of the simulation environment has been integrated with Google Map APIs, in order to allow real-time visualization of the simulated traffic with or without the traffic information system.

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