SMILEE

The Sustainable Mobility Lab develops solutions for regional passenger and freight transport. Using an agile and learning approach, the lab works with users, providers and local authorities to identify and implement promising concepts across borders.

The Sustainable Mobility Lab implements a virtual and physical platform that suitably networks all relevant regional mobility stakeholders in the region and supports the development of innovative mobility solutions as well as their testing and implementation in practical projects around Lake Constance. The aim is to turn the region into a test laboratory for innovative, sustainable mobility solutions. 

Mobility in the four-country region of Lake Constance is challenging: intensive inner-city and inter-city traffic meet in an often challenging topography, traffic flows cross national borders. In addition, the many small towns form unattractive mobility markets for providers of existing mobility solutions. Increased traffic and emissions in passenger and freight transport are becoming increasingly complex and require innovative, systematically cross-border and mostly digitally supported solutions.

In response to the complex requirements of the region, the lab is implementing a virtual and physical platform that suitably networks all relevant regional mobility stakeholders from science, business, politics and society. The platform supports the development of innovative mobility solutions as well as their testing and implementation in practical projects around Lake Constance. In this way, the Lake Constance region will become a test laboratory in the sense of a “living lab”.
The newly created structures and services will increase the region's competitiveness and attractiveness: not only for existing companies and new mobility providers, but also for talent, tourism and residents.

The vision of the lab is to develop innovative, sustainable and accessible mobility services through a strong collaborative character and efficient cross-border cooperation in order to reduce complexity in the region.