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Add parameters for map matching

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This commit is contained in:
Patrick Niklaus
2015-03-02 23:12:44 +01:00
parent d89b171f49
commit e5830b0116
5 changed files with 94 additions and 77 deletions
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plugins/map_matching.hpp
+24 -13
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@@ -171,7 +171,8 @@ template <class DataFacadeT> class MapMatchingPlugin : public BasePlugin
{
osrm::json::Object subtrace;
subtrace.values["confidence"] = sub.confidence;
if (route_parameters.classify)
subtrace.values["confidence"] = sub.confidence;
if (route_parameters.geometry)
{
@@ -230,11 +231,18 @@ template <class DataFacadeT> class MapMatchingPlugin : public BasePlugin
return 400;
}
// call the actual map matching
// setup logging if enabled
if (osrm::json::Logger::get())
osrm::json::Logger::get()->initialize("matching");
// call the actual map matching
Matching::SubMatchingList sub_matchings;
search_engine_ptr->map_matching(candidates_lists, input_coords, input_timestamps, sub_matchings);
search_engine_ptr->map_matching(candidates_lists,
input_coords,
input_timestamps,
route_parameters.matching_beta,
route_parameters.gps_precision,
sub_matchings);
if (1 > sub_matchings.size())
{
@@ -245,17 +253,20 @@ template <class DataFacadeT> class MapMatchingPlugin : public BasePlugin
for (auto& sub : sub_matchings)
{
// classify result
double trace_length = sub_trace_lengths[sub.indices.back()] - sub_trace_lengths[sub.indices.front()];
TraceClassification classification = classify(trace_length,
sub.length,
(sub.indices.back() - sub.indices.front() + 1) - sub.nodes.size());
if (classification.first == ClassifierT::ClassLabel::POSITIVE)
if (route_parameters.classify)
{
sub.confidence = classification.second;
}
else
{
sub.confidence = 1-classification.second;
double trace_length = sub_trace_lengths[sub.indices.back()] - sub_trace_lengths[sub.indices.front()];
TraceClassification classification = classify(trace_length,
sub.length,
(sub.indices.back() - sub.indices.front() + 1) - sub.nodes.size());
if (classification.first == ClassifierT::ClassLabel::POSITIVE)
{
sub.confidence = classification.second;
}
else
{
sub.confidence = 1-classification.second;
}
}
BOOST_ASSERT(sub.nodes.size() > 1);