MITANAND

Project description

A lot of improvements can come together with the automation of road traffic: increased traffic efficiency and road safety, reorganization of road space to accommodate pedestrians and cyclists for an overall increase in quality of life. There are two key ingredients for future success in this field: advanced tools for engineers and urban planners to solve upcoming design challenges, and citizens‘ engagement, which is often overlooked, even if it guarantees their acceptance and use of their collective knowledge.

This research project tackles these issues by developing a highly innovative and interactive method for practitioners to actively involve citizens: we combine transportation engineering practices and rapid-response environments based on artificial intelligence (AI).

The approach builds on an AI-based surrogate model drawing on a vast number of control and design scenarios; the result is a 3D virtual and physical model which can be adapted in real time, which can be interacted with using a voice-controlled large language model. The city model is created using 3D-printed models of infrastructure and vehicles.

Contact: Ana-Maria Oraviţan