Smart Cycling – User Engaged Route to Address Particulates


Cyclists desire routes optimized for challenge, distance, and duration

Non-interactive functional user interface


Provide real-time information on the performance o the athlete and the means of transport

Identify optimal paths for the user

Analyze the distribution and convolution of particulates


Collect data from the web, maps, open-source repositories, and real users

Create an AI model that can propose ideal paths for the user and analyze particulates


  • Automated route selection and ability to share the route with others
  • Additional real-time geographic information before departure: pollution, traffic, weather, and route proposals
  • Data collection and analysis of particulate distribution and concentration
  • Pollution measurements can provide additional data for city operators to revise traffic to reduce particulate matter impact on citizens