Thanks for your reply.
I am trying to achieve city navigation to avoid more polluted streets (primarily for pedestrians and cyclers).
There is a data set of air pollution data with about 20 metres accuracy (20 metres between two points). It contains a value of pollution for each pair of coordinates. For now I only have data for London but will be looking into other cities if it works well enough for London. As far as I understand, SMART-GH uses Python scripts to pre-process the data and assign a ‘rating’ to each street and stores it in a redis database.
When creating a route, Graphhopper fetched data from redis and chooses less polluted streets using a class LeastSmokeyWeighting.
How could I modify the newest version of Graphhopper to work in a similar fashion? (i.e. fetch rating of each street when creating a route).
If you know of any other way to utilise the dataset without using redis and ‘street rating’ please let me know.
Thank you for your time, I really appreciate any help!