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Use a sane gps_precision multipler #1867

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Jan 7, 2016
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Use a sane gps_precision multipler #1867

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6 changes: 3 additions & 3 deletions include/engine/plugins/match.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,6 @@

template <class DataFacadeT> class MapMatchingPlugin : public BasePlugin
{
constexpr static const unsigned max_number_of_candidates = 10;

std::shared_ptr<SearchEngine<DataFacadeT>> search_engine_ptr;

using ClassifierT = BayesClassifier<LaplaceDistribution, LaplaceDistribution, double>;
Expand Down Expand Up @@ -74,7 +72,9 @@ template <class DataFacadeT> class MapMatchingPlugin : public BasePlugin
{
osrm::matching::CandidateLists candidates_lists;

double query_radius = 10 * gps_precision;
// assuming the gps_precision is the standart-diviation of normal distribution that models
// GPS noise (in this model) this should give us the correct candidate with >0.95
double query_radius = 3 * gps_precision;
double last_distance =
coordinate_calculation::haversineDistance(input_coords[0], input_coords[1]);

Expand Down