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Create a functional test that can assess the accuracy of a particular map-matcher. This probably has to be done with respect to a particular road network.
An idea for how to do this:
create / download a set of sample traces that have a variety of frequencies / noise.
manually identify which points should go with which road network link
run a matcher over the sample traces
compare the matcher results to the hand-built results to define how accurate the matcher did (with respect to human classification).
The text was updated successfully, but these errors were encountered:
Another idea would be to try to request the pre-labeled data discussed in this publication: https://yifangyin.github.io/publications/PosisiL.Grab.pdf and then validate the accuracy of our map matching algorithms by running them against the dataset.
Create a functional test that can assess the accuracy of a particular map-matcher. This probably has to be done with respect to a particular road network.
An idea for how to do this:
The text was updated successfully, but these errors were encountered: