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! Best, Patrick On Fri, May 8, 2015 at 8:14 PM, Emil Tin <[email protected]> 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 > > > _______________________________________________ > OSRM-talk mailing list > [email protected] > https://lists.openstreetmap.org/listinfo/osrm-talk > _______________________________________________ OSRM-talk mailing list [email protected] https://lists.openstreetmap.org/listinfo/osrm-talk
