Analytics and innovations for effective and efficient solutions
From synchronising traffic lights for cyclists to booking on-demand services or hailing an autonomous shuttle – digitalisation and the generation of data always lie behind simple, user-friendly applications. Regardless of whether this concerns the collection, provision or use of mobility, environmental or meteorological data; whether it is for intelligent traffic management, multimodality or connectivity; whether it serves the development of mobility platforms (seamless, provider-independent routing and ticketing, for ride-sharing or on-demand services) or efficient city logistics – embracing the digital transformation and real-time communication is essential if we are to take urban mobility forward and towards greater sustainability.
Autonomous and connected vehicles call for V2X technologies and a corresponding infrastructure in public space.
Intelligent traffic management
To harness the potential of digitalisation effectively, an understanding of market mechanisms and the logics underpinning digital business models is needed. Digital traffic/mobility management solutions promise to reduce the complexity of transport systems and to increase their efficiency. This theme block addresses issues that will shape our future, from sensor technology for environmental and transport data all the way through to business models for digital infrastructure and services.
Effective and efficient solutions for the digitalisation of mobility
A crucial question in this context is how the public sector can benefit from the digitalisation of mobility. But since digitalisation also gives rise to potential new risks, we must define the criteria for a resilient digital infrastructure. Ultimately, we must weigh up which business models will achieve market acceptance and widespread adoption as part of the mobility transition and what kind of data platforms must be provided to this end. polisMOBILITY promotes exchanges that empower local authorities to assert their competence in order to find effective and efficient solutions.