Recommendation for training route based on traffic and air pollution data

OData support
Supervisor:
Dr. Pataki Béla József
Department of Measurement and Information Systems

In this thesis the goal was to create a proof-of-concept system for recommending work-out tracks, to prove such systems are duable from the available data sources and with the current technology. The system has to be able to perform the following actions:

• To be able to use meteorological data to be able to recommend a track with less chance of non-optimal weather conditions to lessen negative effects

• To be able to recommend less used road for workout, to minimize the chances of injuries and accidents in traffic and the vehicle related air pollution

• To use air pollution data to minimize the negative health effect of air pollution

The system should use the preferencies of the user to prioritize the previously declared solutions.

The main goal is to create an easily adaptable frame to cities to use to keep the visiting and residential population in as good as health as possible

To solve this problem a software system was created which working as a system can help humnaity to face this problem.

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