Apply clang-format and split out json_util
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@ -32,6 +32,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "../data_structures/coordinate_calculation.hpp"
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#include "../util/simple_logger.hpp"
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#include "../util/json_util.hpp"
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#include <osrm/json_container.hpp>
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#include <variant/variant.hpp>
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@ -45,36 +46,6 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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using JSONVariantArray = mapbox::util::recursive_wrapper<osrm::json::Array>;
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using JSONVariantObject = mapbox::util::recursive_wrapper<osrm::json::Object>;
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template<typename T>
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T makeJSONSafe(T d)
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{
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if (std::isnan(d) || std::numeric_limits<T>::infinity() == d) {
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return std::numeric_limits<T>::max();
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}
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if (-std::numeric_limits<T>::infinity() == d) {
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return -std::numeric_limits<T>::max();
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}
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return d;
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}
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void appendToJSONArray(osrm::json::Array& a) { }
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template<typename T, typename... Args>
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void appendToJSONArray(osrm::json::Array& a, T value, Args... args)
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{
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a.values.emplace_back(value);
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appendToJSONArray(a, args...);
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}
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template<typename... Args>
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osrm::json::Array makeJSONArray(Args... args)
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{
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osrm::json::Array a;
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appendToJSONArray(a, args...);
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return a;
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}
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namespace Matching
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{
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@ -86,7 +57,7 @@ struct SubMatching
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double confidence;
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};
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using CandidateList = std::vector<std::pair<PhantomNode, double>>;
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using CandidateList = std::vector<std::pair<PhantomNode, double>>;
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using CandidateLists = std::vector<CandidateList>;
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using SubMatchingList = std::vector<SubMatching>;
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constexpr static const unsigned max_number_of_candidates = 10;
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@ -133,8 +104,8 @@ template <class DataFacadeT> class MapMatching final
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}
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// TODO: needs to be estimated from the input locations
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// FIXME These values seem wrong. Higher beta for more samples/minute? Should be inverse proportional.
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//constexpr static const double beta = 1.;
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// FIXME These values seem wrong. Higher beta for more samples/minute? Should be inverse
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// proportional.
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// samples/min and beta
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// 1 0.49037673
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// 2 0.82918373
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@ -239,13 +210,15 @@ template <class DataFacadeT> class MapMatching final
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FixedPointCoordinate previous_coordinate = source_phantom.location;
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FixedPointCoordinate current_coordinate;
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distance = 0;
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for (const auto& p : unpacked_path)
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for (const auto &p : unpacked_path)
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{
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current_coordinate = super::facade->GetCoordinateOfNode(p.node);
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distance += coordinate_calculation::great_circle_distance(previous_coordinate, current_coordinate);
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distance += coordinate_calculation::great_circle_distance(previous_coordinate,
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current_coordinate);
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previous_coordinate = current_coordinate;
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}
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distance += coordinate_calculation::great_circle_distance(previous_coordinate, target_phantom.location);
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distance += coordinate_calculation::great_circle_distance(previous_coordinate,
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target_phantom.location);
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}
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return distance;
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@ -259,14 +232,12 @@ template <class DataFacadeT> class MapMatching final
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std::vector<std::vector<bool>> pruned;
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std::vector<bool> breakage;
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const Matching::CandidateLists& candidates_list;
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const Matching::CandidateLists &candidates_list;
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HiddenMarkovModel(const Matching::CandidateLists& candidates_list)
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: breakage(candidates_list.size())
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, candidates_list(candidates_list)
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HiddenMarkovModel(const Matching::CandidateLists &candidates_list)
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: breakage(candidates_list.size()), candidates_list(candidates_list)
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{
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for (const auto& l : candidates_list)
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for (const auto &l : candidates_list)
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{
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viterbi.emplace_back(l.size());
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parents.emplace_back(l.size());
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@ -279,10 +250,9 @@ template <class DataFacadeT> class MapMatching final
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void clear(unsigned initial_timestamp)
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{
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BOOST_ASSERT(viterbi.size() == parents.size()
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&& parents.size() == path_lengths.size()
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&& path_lengths.size() == pruned.size()
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&& pruned.size() == breakage.size());
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BOOST_ASSERT(viterbi.size() == parents.size() &&
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parents.size() == path_lengths.size() &&
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path_lengths.size() == pruned.size() && pruned.size() == breakage.size());
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for (unsigned t = initial_timestamp; t < viterbi.size(); t++)
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{
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@ -291,7 +261,7 @@ template <class DataFacadeT> class MapMatching final
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std::fill(path_lengths[t].begin(), path_lengths[t].end(), 0);
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std::fill(pruned[t].begin(), pruned[t].end(), true);
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}
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std::fill(breakage.begin()+initial_timestamp, breakage.end(), true);
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std::fill(breakage.begin() + initial_timestamp, breakage.end(), true);
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}
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unsigned initialize(unsigned initial_timestamp)
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@ -302,12 +272,14 @@ template <class DataFacadeT> class MapMatching final
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{
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for (auto s = 0u; s < viterbi[initial_timestamp].size(); ++s)
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{
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viterbi[initial_timestamp][s] = log_emission_probability(candidates_list[initial_timestamp][s].second);
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viterbi[initial_timestamp][s] =
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log_emission_probability(candidates_list[initial_timestamp][s].second);
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parents[initial_timestamp][s] = std::make_pair(initial_timestamp, s);
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pruned[initial_timestamp][s] = viterbi[initial_timestamp][s] < Matching::MINIMAL_LOG_PROB;
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breakage[initial_timestamp] = breakage[initial_timestamp] && pruned[initial_timestamp][s];
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pruned[initial_timestamp][s] =
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viterbi[initial_timestamp][s] < Matching::MINIMAL_LOG_PROB;
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breakage[initial_timestamp] =
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breakage[initial_timestamp] && pruned[initial_timestamp][s];
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}
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++initial_timestamp;
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@ -325,7 +297,6 @@ template <class DataFacadeT> class MapMatching final
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return initial_timestamp;
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}
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};
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public:
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@ -334,12 +305,11 @@ template <class DataFacadeT> class MapMatching final
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{
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}
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void operator()(const Matching::CandidateLists &candidates_list,
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const std::vector<FixedPointCoordinate>& trace_coordinates,
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const std::vector<unsigned>& trace_timestamps,
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Matching::SubMatchingList& sub_matchings,
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osrm::json::Object& _debug_info) const
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const std::vector<FixedPointCoordinate> &trace_coordinates,
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const std::vector<unsigned> &trace_timestamps,
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Matching::SubMatchingList &sub_matchings,
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osrm::json::Object &_debug_info) const
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{
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BOOST_ASSERT(candidates_list.size() > 0);
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@ -359,16 +329,18 @@ template <class DataFacadeT> class MapMatching final
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{
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osrm::json::Object _debug_state;
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_debug_state.values["transitions"] = osrm::json::Array();
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_debug_state.values["coordinate"] = makeJSONArray(candidates_list[t][s].first.location.lat / COORDINATE_PRECISION,
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candidates_list[t][s].first.location.lon / COORDINATE_PRECISION);
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_debug_state.values["coordinate"] = osrm::json::makeArray(
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candidates_list[t][s].first.location.lat / COORDINATE_PRECISION,
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candidates_list[t][s].first.location.lon / COORDINATE_PRECISION);
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if (t < initial_timestamp)
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{
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_debug_state.values["viterbi"] = makeJSONSafe(Matching::IMPOSSIBLE_LOG_PROB);
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_debug_state.values["viterbi"] =
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osrm::json::clampFloat(Matching::IMPOSSIBLE_LOG_PROB);
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_debug_state.values["pruned"] = 0u;
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}
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else if (t == initial_timestamp)
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{
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_debug_state.values["viterbi"] = makeJSONSafe(model.viterbi[t][s]);
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_debug_state.values["viterbi"] = osrm::json::clampFloat(model.viterbi[t][s]);
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_debug_state.values["pruned"] = static_cast<unsigned>(model.pruned[t][s]);
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}
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_debug_timestamps.values.push_back(_debug_state);
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@ -384,17 +356,17 @@ template <class DataFacadeT> class MapMatching final
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for (auto t = initial_timestamp + 1; t < candidates_list.size(); ++t)
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{
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unsigned prev_unbroken_timestamp = prev_unbroken_timestamps.back();
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const auto& prev_viterbi = model.viterbi[prev_unbroken_timestamp];
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const auto& prev_pruned = model.pruned[prev_unbroken_timestamp];
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const auto& prev_unbroken_timestamps_list = candidates_list[prev_unbroken_timestamp];
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const auto& prev_coordinate = trace_coordinates[prev_unbroken_timestamp];
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const auto &prev_viterbi = model.viterbi[prev_unbroken_timestamp];
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const auto &prev_pruned = model.pruned[prev_unbroken_timestamp];
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const auto &prev_unbroken_timestamps_list = candidates_list[prev_unbroken_timestamp];
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const auto &prev_coordinate = trace_coordinates[prev_unbroken_timestamp];
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auto& current_viterbi = model.viterbi[t];
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auto& current_pruned = model.pruned[t];
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auto& current_parents = model.parents[t];
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auto& current_lengths = model.path_lengths[t];
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const auto& current_timestamps_list = candidates_list[t];
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const auto& current_coordinate = trace_coordinates[t];
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auto ¤t_viterbi = model.viterbi[t];
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auto ¤t_pruned = model.pruned[t];
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auto ¤t_parents = model.parents[t];
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auto ¤t_lengths = model.path_lengths[t];
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const auto ¤t_timestamps_list = candidates_list[t];
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const auto ¤t_coordinate = trace_coordinates[t];
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// compute d_t for this timestamp and the next one
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for (auto s = 0u; s < prev_viterbi.size(); ++s)
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@ -405,14 +377,16 @@ template <class DataFacadeT> class MapMatching final
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for (auto s_prime = 0u; s_prime < current_viterbi.size(); ++s_prime)
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{
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// how likely is candidate s_prime at time t to be emitted?
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const double emission_pr = log_emission_probability(candidates_list[t][s_prime].second);
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const double emission_pr =
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log_emission_probability(candidates_list[t][s_prime].second);
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double new_value = prev_viterbi[s] + emission_pr;
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if (current_viterbi[s_prime] > new_value)
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continue;
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// get distance diff between loc1/2 and locs/s_prime
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const auto network_distance = get_network_distance(prev_unbroken_timestamps_list[s].first,
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current_timestamps_list[s_prime].first);
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const auto network_distance =
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get_network_distance(prev_unbroken_timestamps_list[s].first,
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current_timestamps_list[s_prime].first);
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const auto great_circle_distance =
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coordinate_calculation::great_circle_distance(prev_coordinate,
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current_coordinate);
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@ -427,18 +401,23 @@ template <class DataFacadeT> class MapMatching final
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new_value += transition_pr;
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osrm::json::Object _debug_transistion;
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_debug_transistion.values["to"] = makeJSONArray(t, s_prime);
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_debug_transistion.values["properties"] = makeJSONArray(
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makeJSONSafe(prev_viterbi[s]),
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makeJSONSafe(emission_pr),
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makeJSONSafe(transition_pr),
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network_distance,
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great_circle_distance
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);
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_debug_transistion.values["to"] = osrm::json::makeArray(t, s_prime);
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_debug_transistion.values["properties"] =
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osrm::json::makeArray(osrm::json::clampFloat(prev_viterbi[s]),
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osrm::json::clampFloat(emission_pr),
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osrm::json::clampFloat(transition_pr),
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network_distance,
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great_circle_distance);
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_debug_states.values[prev_unbroken_timestamp]
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.get<JSONVariantArray>().get().values[s]
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.get<JSONVariantObject>().get().values["transitions"]
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.get<JSONVariantArray>().get().values.push_back(_debug_transistion);
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.get<JSONVariantArray>()
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.get()
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.values[s]
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.get<JSONVariantObject>()
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.get()
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.values["transitions"]
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.get<JSONVariantArray>()
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.get()
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.values.push_back(_debug_transistion);
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if (new_value > current_viterbi[s_prime])
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{
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@ -454,11 +433,19 @@ template <class DataFacadeT> class MapMatching final
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for (auto s_prime = 0u; s_prime < current_viterbi.size(); ++s_prime)
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{
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_debug_states.values[t]
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.get<JSONVariantArray>().get().values[s_prime]
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.get<JSONVariantObject>().get().values["viterbi"] = makeJSONSafe(current_viterbi[s_prime]);
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.get<JSONVariantArray>()
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.get()
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.values[s_prime]
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.get<JSONVariantObject>()
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.get()
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.values["viterbi"] = osrm::json::clampFloat(current_viterbi[s_prime]);
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_debug_states.values[t]
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.get<JSONVariantArray>().get().values[s_prime]
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.get<JSONVariantObject>().get().values["pruned"] = static_cast<unsigned>(current_pruned[s_prime]);
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.get<JSONVariantArray>()
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.get()
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.values[s_prime]
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.get<JSONVariantObject>()
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.get()
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.values["pruned"] = static_cast<unsigned>(current_pruned[s_prime]);
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}
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if (model.breakage[t])
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@ -479,11 +466,15 @@ template <class DataFacadeT> class MapMatching final
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// use temporal information to determine a split if available
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if (trace_timestamps.size() > 0)
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{
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trace_split = trace_split || (trace_timestamps[t] - trace_timestamps[prev_unbroken_timestamps.back()] > Matching::MAX_BROKEN_TIME);
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trace_split =
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trace_split ||
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(trace_timestamps[t] - trace_timestamps[prev_unbroken_timestamps.back()] >
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Matching::MAX_BROKEN_TIME);
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}
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else
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{
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trace_split = trace_split || (t - prev_unbroken_timestamps.back() > Matching::MAX_BROKEN_STATES);
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trace_split = trace_split || (t - prev_unbroken_timestamps.back() >
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Matching::MAX_BROKEN_STATES);
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}
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// we reached the beginning of the trace and it is still broken
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@ -516,7 +507,7 @@ template <class DataFacadeT> class MapMatching final
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if (prev_unbroken_timestamps.size() > 0)
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{
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split_points.push_back(prev_unbroken_timestamps.back()+1);
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split_points.push_back(prev_unbroken_timestamps.back() + 1);
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}
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unsigned sub_matching_begin = initial_timestamp;
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@ -526,8 +517,9 @@ template <class DataFacadeT> class MapMatching final
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// find real end of trace
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// not sure if this is really needed
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unsigned parent_timestamp_index = sub_matching_end-1;
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while (parent_timestamp_index >= sub_matching_begin && model.breakage[parent_timestamp_index])
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unsigned parent_timestamp_index = sub_matching_end - 1;
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while (parent_timestamp_index >= sub_matching_begin &&
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model.breakage[parent_timestamp_index])
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{
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parent_timestamp_index--;
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}
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@ -543,7 +535,8 @@ template <class DataFacadeT> class MapMatching final
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auto max_element_iter = std::max_element(model.viterbi[parent_timestamp_index].begin(),
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model.viterbi[parent_timestamp_index].end());
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unsigned parent_candidate_index = std::distance(model.viterbi[parent_timestamp_index].begin(), max_element_iter);
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unsigned parent_candidate_index =
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std::distance(model.viterbi[parent_timestamp_index].begin(), max_element_iter);
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std::deque<std::pair<unsigned, unsigned>> reconstructed_indices;
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while (parent_timestamp_index > sub_matching_begin)
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@ -554,7 +547,7 @@ template <class DataFacadeT> class MapMatching final
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}
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reconstructed_indices.emplace_front(parent_timestamp_index, parent_candidate_index);
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const auto& next = model.parents[parent_timestamp_index][parent_candidate_index];
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const auto &next = model.parents[parent_timestamp_index][parent_candidate_index];
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parent_timestamp_index = next.first;
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parent_candidate_index = next.second;
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}
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@ -578,8 +571,12 @@ template <class DataFacadeT> class MapMatching final
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matching.length += model.path_lengths[timestamp_index][location_index];
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_debug_states.values[timestamp_index]
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.get<JSONVariantArray>().get().values[location_index]
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.get<JSONVariantObject>().get().values["chosen"] = true;
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.get<JSONVariantArray>()
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.get()
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.values[location_index]
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.get<JSONVariantObject>()
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.get()
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.values["chosen"] = true;
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}
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sub_matchings.push_back(matching);
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@ -588,7 +585,8 @@ template <class DataFacadeT> class MapMatching final
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}
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osrm::json::Array _debug_breakage;
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for (auto b : model.breakage) {
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for (auto b : model.breakage)
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{
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_debug_breakage.values.push_back(static_cast<unsigned>(b));
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}
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@ -597,6 +595,7 @@ template <class DataFacadeT> class MapMatching final
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}
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};
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//[1] "Hidden Markov Map Matching Through Noise and Sparseness"; P. Newson and J. Krumm; 2009; ACM GIS
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//[1] "Hidden Markov Map Matching Through Noise and Sparseness"; P. Newson and J. Krumm; 2009; ACM
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//GIS
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#endif /* MAP_MATCHING_HPP */
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util/json_util.hpp
Normal file
75
util/json_util.hpp
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@ -0,0 +1,75 @@
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/*
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Copyright (c) 2015, Project OSRM contributors
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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Redistributions of source code must retain the above copyright notice, this list
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of conditions and the following disclaimer.
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Redistributions in binary form must reproduce the above copyright notice, this
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||||
list of conditions and the following disclaimer in the documentation and/or
|
||||
other materials provided with the distribution.
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
||||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
||||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
|
||||
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
|
||||
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
|
||||
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
|
||||
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
|
||||
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
|
||||
*/
|
||||
|
||||
// based on
|
||||
// https://svn.apache.org/repos/asf/mesos/tags/release-0.9.0-incubating-RC0/src/common/json.hpp
|
||||
|
||||
#ifndef JSON_UTIL_HPP
|
||||
#define JSON_UTIL_HPP
|
||||
|
||||
#include <osrm/json_container.hpp>
|
||||
|
||||
#include <limits>
|
||||
#include <cmath>
|
||||
|
||||
namespace osrm
|
||||
{
|
||||
namespace json
|
||||
{
|
||||
|
||||
template <typename T> T clampFloat(T d)
|
||||
{
|
||||
if (std::isnan(d) || std::numeric_limits<T>::infinity() == d)
|
||||
{
|
||||
return std::numeric_limits<T>::max();
|
||||
}
|
||||
if (-std::numeric_limits<T>::infinity() == d)
|
||||
{
|
||||
return -std::numeric_limits<T>::max();
|
||||
}
|
||||
|
||||
return d;
|
||||
}
|
||||
|
||||
void appendToArray(osrm::json::Array &a) {}
|
||||
template <typename T, typename... Args>
|
||||
void appendToArray(osrm::json::Array &a, T value, Args... args)
|
||||
{
|
||||
a.values.emplace_back(value);
|
||||
appendToJSONArray(a, args...);
|
||||
}
|
||||
|
||||
template <typename... Args> osrm::json::Array makeArray(Args... args)
|
||||
{
|
||||
osrm::json::Array a;
|
||||
appendToJSONArray(a, args...);
|
||||
return a;
|
||||
}
|
||||
|
||||
} // namespace json
|
||||
} // namespace osrm
|
||||
#endif // JSON_RENDERER_HPP
|
Loading…
Reference in New Issue
Block a user