Revert "Improve speed of Map Matching" (#5196)
* Revert "Update changelog" This reverts commit9b779c704f. * Revert "Fix formating" This reverts commit5bd7d04fe3. * Revert "Fix bug in computation of distance offset for phantom node" This reverts commit0f78f7b2cc. * Revert "Adjust text cases for flightly different matching due to rounding" This reverts commit8473be69d2. * Revert "Round network distance to deci-meter to retain previous behavior" This reverts commitc0124f7d77. * Revert "Preserve heap state in map matching" This reverts commitb630b4e32a. * Revert "Use distance functions from many to many" This reverts commit89fabc1b9c. * Revert "Use FCC algorithm for map matching distance calculation" This reverts commita649a8a5cf.
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@@ -100,7 +100,7 @@ void search(SearchEngineData<Algorithm> & /*engine_working_data*/,
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const PhantomNodes & /*phantom_nodes*/,
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const EdgeWeight weight_upper_bound)
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{
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if (forward_heap.Empty() && reverse_heap.Empty())
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if (forward_heap.Empty() || reverse_heap.Empty())
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{
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weight = INVALID_EDGE_WEIGHT;
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return;
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@@ -110,14 +110,10 @@ void search(SearchEngineData<Algorithm> & /*engine_working_data*/,
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weight = weight_upper_bound;
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// get offset to account for offsets on phantom nodes on compressed edges
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EdgeWeight min_edge_offset = 0;
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if (forward_heap.Size() > 0)
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{
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min_edge_offset = std::min(min_edge_offset, forward_heap.MinKey());
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BOOST_ASSERT(min_edge_offset <= 0);
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}
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const auto min_edge_offset = std::min(0, forward_heap.MinKey());
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BOOST_ASSERT(min_edge_offset <= 0);
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// we only every insert negative offsets for nodes in the forward heap
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BOOST_ASSERT(reverse_heap.Empty() || reverse_heap.MinKey() >= 0);
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BOOST_ASSERT(reverse_heap.MinKey() >= 0);
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// run two-Target Dijkstra routing step.
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while (0 < (forward_heap.Size() + reverse_heap.Size()))
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@@ -180,6 +176,11 @@ double getNetworkDistance(SearchEngineData<Algorithm> &engine_working_data,
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const PhantomNode &target_phantom,
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EdgeWeight weight_upper_bound)
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{
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forward_heap.Clear();
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reverse_heap.Clear();
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insertNodesInHeaps(forward_heap, reverse_heap, {source_phantom, target_phantom});
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EdgeWeight weight = INVALID_EDGE_WEIGHT;
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std::vector<NodeID> packed_path;
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search(engine_working_data,
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@@ -198,31 +199,14 @@ double getNetworkDistance(SearchEngineData<Algorithm> &engine_working_data,
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return std::numeric_limits<double>::max();
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}
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EdgeDistance distance = 0;
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std::vector<PathData> unpacked_path;
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unpackPath(facade,
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packed_path.begin(),
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packed_path.end(),
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{source_phantom, target_phantom},
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unpacked_path);
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std::vector<NodeID> unpacked_nodes;
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unpacked_nodes.reserve(packed_path.size());
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if (!packed_path.empty())
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{
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unpacked_nodes.push_back(packed_path.front());
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unpackPath(
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facade, packed_path.begin(), packed_path.end(), [&](const auto &edge, const auto &) {
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BOOST_ASSERT(edge.first == unpacked_nodes.back());
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unpacked_nodes.push_back(edge.second);
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});
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distance = std::accumulate(unpacked_nodes.begin(),
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std::prev(unpacked_nodes.end()),
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EdgeDistance{0},
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[&](const EdgeDistance distance, const auto node_id) {
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return distance + computeEdgeDistance(facade, node_id);
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});
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}
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distance =
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adjustPathDistanceToPhantomNodes(unpacked_nodes, source_phantom, target_phantom, distance);
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return distance;
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return getPathDistance(facade, unpacked_path, source_phantom, target_phantom);
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}
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} // namespace ch
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