AI in Mobility Pilots

Utilizing AI and the Mobility Data Catalog as well as other Helsinki-focused data for improving the accessibility of traffic information and creating smart city services.  

The Cadweiser Traffic Info pilot (Cadweiser Oy) uses generative AI to simplify traffic bulletins, converting text into speech and transmitting it via radio and communication channels. The goal is to learn how AI can improve the accessibility of bulletins in different languages and with customised settings.

The LLM CAM pilot (NinjaLabo) aims to develop a No Code Vision LLM camera platform that allows users to create smart city services using natural language without coding skills. Key phases include integrating YouTube Live and ChatGPT for initial functions, such as enabling users to inquire about free parking spaces or traffic conditions. The solution supports a community-driven platform that promotes collaborative, no-code smart city solutions.