Smart Public Transport Stops | Demola Tampere

Smart Public Transport Stops

Project Skills

  • business & concepts
  • coding
  • design & art
  • education
  • engineering
  • environment
  • governance
  • media & communications
  • social science

Project Blog

The brief

In the future, public transport stops will become the integral, smart part of the entire public transport system and other smart city infrastructures. Our aim is to come up with new, innovative digital services that cover the whole journey from door to door to make the public transport system more effective, economic, attractive and safe.

The background

Smart mobility and smart transport solutions are the key focus areas for the city of Tampere yet the rapid growth of the city combined with the area's challenging landscape are causing major mobility and transport challenges. At the same time, Tampere is committed to promote public transport, walking and cycling over private cars to be able to meet e.g. the challenging CO2 reduction targets. How can the advanced technologies, such as real time image and video processing, pattern recognition or artificial intelligence enable Tampere to reach its goals? Could new digital services be the answer?

The problem

Nokia and City of Tampere are currently building a cloud based 4G/5G test network to Tampere, Hervanta, of which Nokia Digital Automation Cloud (NDAC) edge computing is a part. In addition, Tampere is planning to build a smart bus/tram stop demo to Hervanta. What kind of opportunities do these offer to public transport? Could it be used to map out individual’s bus routes without harming their anonymity? Could public transport offer more than just a transport service, e.g. by making Tampere a safer place or help locating lost people? Could it be a medium for citizen feedback or citizen engagement? What kind of feedback would citizens want to give or how would they want to be engaged during their bus/tram route? Artificial intelligence, social sciences, political sciences, edge computing, pattern recognition, image processing, security and privacy, local governance, UX/UI, tourism, understanding of human behavior