Revert "Improve speed of Map Matching" (#5196)

* Revert "Update changelog"

This reverts commit 9b779c704f.

* Revert "Fix formating"

This reverts commit 5bd7d04fe3.

* Revert "Fix bug in computation of distance offset for phantom node"

This reverts commit 0f78f7b2cc.

* Revert "Adjust text cases for flightly different matching due to rounding"

This reverts commit 8473be69d2.

* Revert "Round network distance to deci-meter to retain previous behavior"

This reverts commit c0124f7d77.

* Revert "Preserve heap state in map matching"

This reverts commit b630b4e32a.

* Revert "Use distance functions from many to many"

This reverts commit 89fabc1b9c.

* Revert "Use FCC algorithm for map matching distance calculation"

This reverts commit a649a8a5cf.
This commit is contained in:
Kajari Ghosh
2018-09-06 12:05:28 -04:00
committed by GitHub
parent 5476f6ab27
commit 5597415f28
11 changed files with 214 additions and 289 deletions
@@ -100,7 +100,7 @@ void search(SearchEngineData<Algorithm> & /*engine_working_data*/,
const PhantomNodes & /*phantom_nodes*/,
const EdgeWeight weight_upper_bound)
{
if (forward_heap.Empty() && reverse_heap.Empty())
if (forward_heap.Empty() || reverse_heap.Empty())
{
weight = INVALID_EDGE_WEIGHT;
return;
@@ -110,14 +110,10 @@ void search(SearchEngineData<Algorithm> & /*engine_working_data*/,
weight = weight_upper_bound;
// get offset to account for offsets on phantom nodes on compressed edges
EdgeWeight min_edge_offset = 0;
if (forward_heap.Size() > 0)
{
min_edge_offset = std::min(min_edge_offset, forward_heap.MinKey());
BOOST_ASSERT(min_edge_offset <= 0);
}
const auto min_edge_offset = std::min(0, forward_heap.MinKey());
BOOST_ASSERT(min_edge_offset <= 0);
// we only every insert negative offsets for nodes in the forward heap
BOOST_ASSERT(reverse_heap.Empty() || reverse_heap.MinKey() >= 0);
BOOST_ASSERT(reverse_heap.MinKey() >= 0);
// run two-Target Dijkstra routing step.
while (0 < (forward_heap.Size() + reverse_heap.Size()))
@@ -180,6 +176,11 @@ double getNetworkDistance(SearchEngineData<Algorithm> &engine_working_data,
const PhantomNode &target_phantom,
EdgeWeight weight_upper_bound)
{
forward_heap.Clear();
reverse_heap.Clear();
insertNodesInHeaps(forward_heap, reverse_heap, {source_phantom, target_phantom});
EdgeWeight weight = INVALID_EDGE_WEIGHT;
std::vector<NodeID> packed_path;
search(engine_working_data,
@@ -198,31 +199,14 @@ double getNetworkDistance(SearchEngineData<Algorithm> &engine_working_data,
return std::numeric_limits<double>::max();
}
EdgeDistance distance = 0;
std::vector<PathData> unpacked_path;
unpackPath(facade,
packed_path.begin(),
packed_path.end(),
{source_phantom, target_phantom},
unpacked_path);
std::vector<NodeID> unpacked_nodes;
unpacked_nodes.reserve(packed_path.size());
if (!packed_path.empty())
{
unpacked_nodes.push_back(packed_path.front());
unpackPath(
facade, packed_path.begin(), packed_path.end(), [&](const auto &edge, const auto &) {
BOOST_ASSERT(edge.first == unpacked_nodes.back());
unpacked_nodes.push_back(edge.second);
});
distance = std::accumulate(unpacked_nodes.begin(),
std::prev(unpacked_nodes.end()),
EdgeDistance{0},
[&](const EdgeDistance distance, const auto node_id) {
return distance + computeEdgeDistance(facade, node_id);
});
}
distance =
adjustPathDistanceToPhantomNodes(unpacked_nodes, source_phantom, target_phantom, distance);
return distance;
return getPathDistance(facade, unpacked_path, source_phantom, target_phantom);
}
} // namespace ch