[OSRM-talk] Using map matching for guessing travel mode?

Patrick Niklaus patrick.niklaus at student.kit.edu
Sat May 9 13:49:55 UTC 2015

Hey Emil!

yes that sounds like a good application for the map matching API. Good
catch on the missing documentation, I fixed that. :-)
The only problem I see is that the classification highly depends on a
sample periods around 5-10s.

I'm very interested in hearing about the results of this!


On Fri, May 8, 2015 at 8:14 PM, Emil Tin <emil at tin.dk> wrote:
> Hi,
> I’m wondering if the new map matching feature could be used for guessing
> travel mode?
> We’re currently working on adding a GPS tracking feature to our I BIke CPH
> ap. Both iOS and Android now come with build-in APIs for automatically
> detecting the travel mode, but on iOS the results are surprisingly low
> quliaty. Since we already use OSRM, I’m wondering it it could be used
> improve the detection quality.
> For example, suppose I have a GPS track and need to guess whether the user
> was biking, walking or in a car? Could I use the matching algorithm with
> different profiles (bike/foot/car), and get values expresssing how well the
> track fits each network, ie. the probability that the user was
> biking/walking/driving?
> It might be useful in siutations where the networks differ slighty due to
> things like:
> - Topology. Some ways allow only bikes/walking/cars. Some intersections
> provide different lanes/ways for turning by car/bike/foot.
> - Oneway. Streets might be oneway for cars, but not for bikes.
> - Barriers. You don’t usually pass stairs or bollards by car.
> At https://github.com/Project-OSRM/osrm-backend/wiki/Server-api is written
> that you can pass classify=true to get a confidence value for the matching,
> but it’s not mentioned in the response section?
> Thanks!
> Emil Tin
> CIty of Copenhagen
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