ABSTRACT
In some applications, the benefits of a particular technology are predicated by large scale deployment, and in other applications, the authors' prevailing interest is in developing algorithms to orchestrate the behavior of large scale ensembles of agents. Such issues give rise to new practical and theoretical challenges. Large scale simulations alone are unsatisfactory, especially for applications where "human experience" determines eventual acceptability of a particular technology. To bridge the gap between these extremes, a hardware-in-the-loop platform has been constructed. This allows system designers to embed real vehicles, driving on real roads, into large scale simulations. In this way it is possible to emulate large scale scenarios, while at the same time giving drivers a connected car experience. Many exciting mathematical problems, with exotic constraints and boundary conditions, arise in an Intelligent Transportation Systems (ITS) context.
