algorithmgpxinterpolationspline
I have a number of GPX tracks of the same road. But due to GPS error they are not accurate enough (20-30m off).
I'm wondering if I could interpolate those multiple gpx tracks into single one. If an error is random, interpolation should give me more accurate data.
Are there any algorithms to interpolate multiple (non-ordered) points?
Update I've found the correct search term. It's map inference gps traces in google scholar . There you can find "cited by" and related articles.
For a Python approach, try gpxplot available from code.google.com. The script is available here and the online interface is located here.
Try using GPS Visualizer. The profile tool looks like what you may be interested in.
Or, Maplorer: View GPX file on map + elevation
I'm also searching for a really good way to do this... but in the meantime I do have a system which works OK. Slow but effective:
Use the Openstreetmap editor JOSM. This is good at displaying GPX info. Use the plugin 'InfoMode'. This makes it easy to see the time data on the GPX track. Note exact times for the nodes which you want to edit/delete etc. Edit the GPX file by hand in a text editor which is good at displaying XML files (or a specific XML editor of course).
Note that JOSM seems to take account of local time - so for me it shows times in UK summer time - whereas the GPX file has times in GMT/UTC.
Being able to use 'regular expressions' with the text editor helps if it turns out that your GPS has inserted additional useless information into the GPX (which you want to delete).
Best Answer
Yes, there are such algorithms (see for example here, there and here) but since you seem to have only one single road, would it not be easier to do it by hand? (!). Using for example QGIS, you could import your GPS traces, create a new layer, digitalise the centerline of the bundle, and then export it in whatever format.