Smart Cycling – User Engaged Route to Address Particulates

Problem

Cyclists desire routes optimized for challenge, distance, and duration

Non-interactive functional user interface

Actions

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

Solution

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

Results

  • 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
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