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

