

Yeah, understanding the data beneath the point would help alot. The problem with that is that we first can not query some system for every point. And second, since the raw data is already jumping around alot, even if we could it is still way off.
Commute tracking could be a way for the statistics. They need to improve a lot.
For the logic to detect valid points, we basically do that already for the visit detection. I am quite happy with it right now. Maybe the second year of reitti will be focused on the trips. 😀
Google did something like the confidence thing in their old timeline (Records.json) format. There for every path they had stored the confidence of the transportation mode.
And finally the mobile app. I doubt it will come the next year but we never know. I would have some ideas like tracking bumps (smoother rides are propably a car or train, elevation above x meters is propably a plane and so on) and such things to have more confidence in the trip detection. Right now, there is an app for everyone available which can report into reitti. So there is no pressure. But I don’t know, I also did not thought about writing my own reverse geocoder but that also came out of a necessity to have some smaller hosting on a small vps.





Hello and thank you. I have no idea how an app gets onto Yunohost. But I have now seen that you can nominate an app to be packaged, and someone put Reitti in it. Wishlist Reitti, but it seems they have some restrictions on who can vote for it.
Maybe there is another way to get it on, like a generic Docker thing. If that is a way, I am more than happy to assist.