osrm-backend/include/engine/routing_algorithms/routing_base_ch.hpp

494 lines
19 KiB
C++
Raw Normal View History

#ifndef OSRM_ENGINE_ROUTING_BASE_CH_HPP
#define OSRM_ENGINE_ROUTING_BASE_CH_HPP
#include "engine/algorithm.hpp"
#include "engine/datafacade.hpp"
#include "engine/routing_algorithms/routing_base.hpp"
#include "engine/search_engine_data.hpp"
#include "util/typedefs.hpp"
#include <boost/assert.hpp>
namespace osrm
{
namespace engine
{
namespace routing_algorithms
{
namespace ch
{
// Stalling
template <bool DIRECTION, typename HeapT>
bool stallAtNode(const DataFacade<Algorithm> &facade,
2020-11-23 17:00:27 -05:00
const typename HeapT::HeapNode& heapNode,
const HeapT &query_heap)
{
2020-11-23 17:00:27 -05:00
for (auto edge : facade.GetAdjacentEdgeRange(heapNode.node))
{
const auto &data = facade.GetEdgeData(edge);
if (DIRECTION == REVERSE_DIRECTION ? data.forward : data.backward)
{
const NodeID to = facade.GetTarget(edge);
const EdgeWeight edge_weight = data.weight;
BOOST_ASSERT_MSG(edge_weight > 0, "edge_weight invalid");
const auto toHeapNode= query_heap.GetHeapNodeIfWasInserted(to);
2020-11-23 16:33:08 -05:00
if (toHeapNode)
{
2020-11-23 17:00:27 -05:00
if (toHeapNode->weight + edge_weight < heapNode.weight)
{
return true;
}
}
}
}
return false;
}
template <bool DIRECTION>
void relaxOutgoingEdges(const DataFacade<Algorithm> &facade,
2020-11-23 17:00:27 -05:00
const SearchEngineData<Algorithm>::QueryHeap::HeapNode& heapNode,
SearchEngineData<Algorithm>::QueryHeap &heap)
{
2020-11-23 17:00:27 -05:00
for (const auto edge : facade.GetAdjacentEdgeRange(heapNode.node))
{
const auto &data = facade.GetEdgeData(edge);
if (DIRECTION == FORWARD_DIRECTION ? data.forward : data.backward)
{
const NodeID to = facade.GetTarget(edge);
const EdgeWeight edge_weight = data.weight;
BOOST_ASSERT_MSG(edge_weight > 0, "edge_weight invalid");
2020-11-23 17:00:27 -05:00
const EdgeWeight to_weight = heapNode.weight + edge_weight;
const auto toHeapNode = heap.GetHeapNodeIfWasInserted(to);
// New Node discovered -> Add to Heap + Node Info Storage
2020-11-23 17:00:27 -05:00
if (!toHeapNode)
{
2020-11-23 17:00:27 -05:00
heap.Insert(to, to_weight, heapNode.node);
}
// Found a shorter Path -> Update weight
2020-11-23 17:00:27 -05:00
else if (to_weight < toHeapNode->weight)
{
// new parent
2020-11-23 17:00:27 -05:00
toHeapNode->data.parent = heapNode.node;
toHeapNode->weight=to_weight;
heap.DecreaseKey(*toHeapNode);
}
}
}
}
/*
min_edge_offset is needed in case we use multiple
nodes as start/target nodes with different (even negative) offsets.
In that case the termination criterion is not correct
anymore.
Example:
forward heap: a(-100), b(0),
reverse heap: c(0), d(100)
a --- d
\ /
/ \
b --- c
This is equivalent to running a bi-directional Dijkstra on the following graph:
a --- d
/ \ / \
y x z
\ / \ /
b --- c
The graph is constructed by inserting nodes y and z that are connected to the initial nodes
using edges (y, a) with weight -100, (y, b) with weight 0 and,
(d, z) with weight 100, (c, z) with weight 0 corresponding.
Since we are dealing with a graph that contains _negative_ edges,
we need to add an offset to the termination criterion.
*/
static constexpr bool ENABLE_STALLING = true;
static constexpr bool DISABLE_STALLING = false;
template <bool DIRECTION, bool STALLING = ENABLE_STALLING>
void routingStep(const DataFacade<Algorithm> &facade,
SearchEngineData<Algorithm>::QueryHeap &forward_heap,
SearchEngineData<Algorithm>::QueryHeap &reverse_heap,
NodeID &middle_node_id,
EdgeWeight &upper_bound,
EdgeWeight min_edge_offset,
const bool force_loop_forward,
const bool force_loop_reverse)
{
2020-11-23 17:00:27 -05:00
auto heapNode = forward_heap.DeleteMinGetHeapNode();
const auto reverseHeapNode = reverse_heap.GetHeapNodeIfWasInserted(heapNode.node);
2020-11-23 17:00:27 -05:00
if (reverseHeapNode)
{
2020-11-23 17:00:27 -05:00
const EdgeWeight new_weight = reverseHeapNode->weight + heapNode.weight;
if (new_weight < upper_bound)
{
// if loops are forced, they are so at the source
2020-11-23 17:00:27 -05:00
if ((force_loop_forward && heapNode.data.parent == heapNode.node) ||
(force_loop_reverse && reverseHeapNode->data.parent == heapNode.node) ||
// in this case we are looking at a bi-directional way where the source
// and target phantom are on the same edge based node
new_weight < 0)
{
// check whether there is a loop present at the node
2020-11-23 17:00:27 -05:00
for (const auto edge : facade.GetAdjacentEdgeRange(heapNode.node))
{
const auto &data = facade.GetEdgeData(edge);
if (DIRECTION == FORWARD_DIRECTION ? data.forward : data.backward)
{
const NodeID to = facade.GetTarget(edge);
2020-11-23 17:00:27 -05:00
if (to == heapNode.node)
{
const EdgeWeight edge_weight = data.weight;
const EdgeWeight loop_weight = new_weight + edge_weight;
if (loop_weight >= 0 && loop_weight < upper_bound)
{
2020-11-23 17:00:27 -05:00
middle_node_id = heapNode.node;
upper_bound = loop_weight;
}
}
}
}
}
else
{
BOOST_ASSERT(new_weight >= 0);
2020-11-23 17:00:27 -05:00
middle_node_id = heapNode.node;
upper_bound = new_weight;
}
}
}
// make sure we don't terminate too early if we initialize the weight
// for the nodes in the forward heap with the forward/reverse offset
BOOST_ASSERT(min_edge_offset <= 0);
2020-11-23 17:00:27 -05:00
if (heapNode.weight + min_edge_offset > upper_bound)
{
forward_heap.DeleteAll();
return;
}
// Stalling
2020-11-23 17:00:27 -05:00
if (STALLING && stallAtNode<DIRECTION>(facade, heapNode, forward_heap))
{
return;
}
2020-11-23 17:00:27 -05:00
relaxOutgoingEdges<DIRECTION>(facade, heapNode, forward_heap);
}
template <bool UseDuration>
std::tuple<EdgeWeight, EdgeDistance> getLoopWeight(const DataFacade<Algorithm> &facade, NodeID node)
{
EdgeWeight loop_weight = UseDuration ? MAXIMAL_EDGE_DURATION : INVALID_EDGE_WEIGHT;
EdgeDistance loop_distance = MAXIMAL_EDGE_DISTANCE;
for (auto edge : facade.GetAdjacentEdgeRange(node))
{
const auto &data = facade.GetEdgeData(edge);
if (data.forward)
{
const NodeID to = facade.GetTarget(edge);
if (to == node)
{
const auto value = UseDuration ? data.duration : data.weight;
if (value < loop_weight)
{
loop_weight = value;
loop_distance = data.distance;
}
}
}
}
return std::make_tuple(loop_weight, loop_distance);
}
/**
* Given a sequence of connected `NodeID`s in the CH graph, performs a depth-first unpacking of
* the shortcut
* edges. For every "original" edge found, it calls the `callback` with the two NodeIDs for the
* edge, and the EdgeData
* for that edge.
*
* The primary purpose of this unpacking is to expand a path through the CH into the original
* route through the
* pre-contracted graph.
*
* Because of the depth-first-search, the `callback` will effectively be called in sequence for
* the original route
* from beginning to end.
*
* @param packed_path_begin iterator pointing to the start of the NodeID list
* @param packed_path_end iterator pointing to the end of the NodeID list
* @param callback void(const std::pair<NodeID, NodeID>, const EdgeID &) called for each
* original edge found.
*/
template <typename BidirectionalIterator, typename Callback>
void unpackPath(const DataFacade<Algorithm> &facade,
BidirectionalIterator packed_path_begin,
BidirectionalIterator packed_path_end,
Callback &&callback)
{
// make sure we have at least something to unpack
if (packed_path_begin == packed_path_end)
return;
std::stack<std::pair<NodeID, NodeID>> recursion_stack;
// We have to push the path in reverse order onto the stack because it's LIFO.
for (auto current = std::prev(packed_path_end); current != packed_path_begin;
current = std::prev(current))
{
recursion_stack.emplace(*std::prev(current), *current);
}
std::pair<NodeID, NodeID> edge;
while (!recursion_stack.empty())
{
edge = recursion_stack.top();
recursion_stack.pop();
// Look for an edge on the forward CH graph (.forward)
EdgeID smaller_edge_id = facade.FindSmallestEdge(
edge.first, edge.second, [](const auto &data) { return data.forward; });
// If we didn't find one there, the we might be looking at a part of the path that
// was found using the backward search. Here, we flip the node order (.second, .first)
// and only consider edges with the `.backward` flag.
if (SPECIAL_EDGEID == smaller_edge_id)
{
smaller_edge_id = facade.FindSmallestEdge(
edge.second, edge.first, [](const auto &data) { return data.backward; });
}
// If we didn't find anything *still*, then something is broken and someone has
// called this function with bad values.
BOOST_ASSERT_MSG(smaller_edge_id != SPECIAL_EDGEID, "Invalid smaller edge ID");
const auto &data = facade.GetEdgeData(smaller_edge_id);
BOOST_ASSERT_MSG(data.weight != std::numeric_limits<EdgeWeight>::max(),
"edge weight invalid");
// If the edge is a shortcut, we need to add the two halfs to the stack.
if (data.shortcut)
{ // unpack
const NodeID middle_node_id = data.turn_id;
// Note the order here - we're adding these to a stack, so we
// want the first->middle to get visited before middle->second
recursion_stack.emplace(middle_node_id, edge.second);
recursion_stack.emplace(edge.first, middle_node_id);
}
else
{
// We found an original edge, call our callback.
std::forward<Callback>(callback)(edge, smaller_edge_id);
}
}
}
template <typename BidirectionalIterator>
EdgeDistance calculateEBGNodeAnnotations(const DataFacade<Algorithm> &facade,
BidirectionalIterator packed_path_begin,
BidirectionalIterator packed_path_end)
{
// Make sure we have at least something to unpack
if (packed_path_begin == packed_path_end ||
std::distance(packed_path_begin, packed_path_end) <= 1)
return 0;
std::stack<std::tuple<NodeID, NodeID, bool>> recursion_stack;
std::stack<EdgeDistance> distance_stack;
// We have to push the path in reverse order onto the stack because it's LIFO.
for (auto current = std::prev(packed_path_end); current > packed_path_begin;
current = std::prev(current))
{
recursion_stack.emplace(*std::prev(current), *current, false);
}
std::tuple<NodeID, NodeID, bool> edge;
while (!recursion_stack.empty())
{
edge = recursion_stack.top();
recursion_stack.pop();
// Have we processed the edge before? tells us if we have values in the durations stack that
// we can add up
if (!std::get<2>(edge))
{ // haven't processed edge before, so process it in the body!
std::get<2>(edge) = true; // mark that this edge will now be processed
// Look for an edge on the forward CH graph (.forward)
EdgeID smaller_edge_id =
facade.FindSmallestEdge(std::get<0>(edge), std::get<1>(edge), [](const auto &data) {
return data.forward;
});
// If we didn't find one there, the we might be looking at a part of the path that
// was found using the backward search. Here, we flip the node order (.second,
// .first) and only consider edges with the `.backward` flag.
if (SPECIAL_EDGEID == smaller_edge_id)
{
smaller_edge_id =
facade.FindSmallestEdge(std::get<1>(edge),
std::get<0>(edge),
[](const auto &data) { return data.backward; });
}
// If we didn't find anything *still*, then something is broken and someone has
// called this function with bad values.
BOOST_ASSERT_MSG(smaller_edge_id != SPECIAL_EDGEID, "Invalid smaller edge ID");
const auto &data = facade.GetEdgeData(smaller_edge_id);
BOOST_ASSERT_MSG(data.weight != std::numeric_limits<EdgeWeight>::max(),
"edge weight invalid");
// If the edge is a shortcut, we need to add the two halfs to the stack.
if (data.shortcut)
{ // unpack
const NodeID middle_node_id = data.turn_id;
// Note the order here - we're adding these to a stack, so we
// want the first->middle to get visited before middle->second
recursion_stack.emplace(edge);
recursion_stack.emplace(middle_node_id, std::get<1>(edge), false);
recursion_stack.emplace(std::get<0>(edge), middle_node_id, false);
}
else
{
// compute the duration here and put it onto the duration stack using method
// similar to annotatePath but smaller
EdgeDistance distance = computeEdgeDistance(facade, std::get<0>(edge));
distance_stack.emplace(distance);
}
}
else
{ // the edge has already been processed. this means that there are enough values in the
// distances stack
BOOST_ASSERT_MSG(distance_stack.size() >= 2,
"There are not enough (at least 2) values on the distance stack");
EdgeDistance distance1 = distance_stack.top();
distance_stack.pop();
EdgeDistance distance2 = distance_stack.top();
distance_stack.pop();
EdgeDistance distance = distance1 + distance2;
distance_stack.emplace(distance);
}
}
EdgeDistance total_distance = 0;
while (!distance_stack.empty())
{
total_distance += distance_stack.top();
distance_stack.pop();
}
return total_distance;
}
template <typename RandomIter, typename FacadeT>
void unpackPath(const FacadeT &facade,
RandomIter packed_path_begin,
RandomIter packed_path_end,
const PhantomNodes &phantom_nodes,
std::vector<PathData> &unpacked_path)
{
const auto nodes_number = std::distance(packed_path_begin, packed_path_end);
BOOST_ASSERT(nodes_number > 0);
std::vector<NodeID> unpacked_nodes;
std::vector<EdgeID> unpacked_edges;
unpacked_nodes.reserve(nodes_number);
unpacked_edges.reserve(nodes_number);
unpacked_nodes.push_back(*packed_path_begin);
if (nodes_number > 1)
{
unpackPath(facade,
packed_path_begin,
packed_path_end,
[&](std::pair<NodeID, NodeID> &edge, const auto &edge_id) {
BOOST_ASSERT(edge.first == unpacked_nodes.back());
unpacked_nodes.push_back(edge.second);
unpacked_edges.push_back(edge_id);
});
}
annotatePath(facade, phantom_nodes, unpacked_nodes, unpacked_edges, unpacked_path);
}
/**
* Unpacks a single edge (NodeID->NodeID) from the CH graph down to it's original non-shortcut
* route.
* @param from the node the CH edge starts at
* @param to the node the CH edge finishes at
* @param unpacked_path the sequence of original NodeIDs that make up the expanded CH edge
*/
void unpackEdge(const DataFacade<Algorithm> &facade,
const NodeID from,
const NodeID to,
std::vector<NodeID> &unpacked_path);
void retrievePackedPathFromHeap(const SearchEngineData<Algorithm>::QueryHeap &forward_heap,
const SearchEngineData<Algorithm>::QueryHeap &reverse_heap,
const NodeID middle_node_id,
std::vector<NodeID> &packed_path);
void retrievePackedPathFromSingleHeap(const SearchEngineData<Algorithm>::QueryHeap &search_heap,
const NodeID middle_node_id,
std::vector<NodeID> &packed_path);
void retrievePackedPathFromSingleManyToManyHeap(
const SearchEngineData<Algorithm>::ManyToManyQueryHeap &search_heap,
const NodeID middle_node_id,
std::vector<NodeID> &packed_path);
// assumes that heaps are already setup correctly.
// ATTENTION: This only works if no additional offset is supplied next to the Phantom Node
// Offsets.
// In case additional offsets are supplied, you might have to force a loop first.
// A forced loop might be necessary, if source and target are on the same segment.
// If this is the case and the offsets of the respective direction are larger for the source
// than the target
// then a force loop is required (e.g. source_phantom.forward_segment_id ==
// target_phantom.forward_segment_id
// && source_phantom.GetForwardWeightPlusOffset() > target_phantom.GetForwardWeightPlusOffset())
// requires
// a force loop, if the heaps have been initialized with positive offsets.
void search(SearchEngineData<Algorithm> &engine_working_data,
const DataFacade<Algorithm> &facade,
SearchEngineData<Algorithm>::QueryHeap &forward_heap,
SearchEngineData<Algorithm>::QueryHeap &reverse_heap,
std::int32_t &weight,
std::vector<NodeID> &packed_leg,
const bool force_loop_forward,
const bool force_loop_reverse,
const PhantomNodes &phantom_nodes,
const int duration_upper_bound = INVALID_EDGE_WEIGHT);
// Requires the heaps for be empty
// If heaps should be adjusted to be initialized outside of this function,
// the addition of force_loop parameters might be required
double getNetworkDistance(SearchEngineData<Algorithm> &engine_working_data,
const DataFacade<ch::Algorithm> &facade,
SearchEngineData<Algorithm>::QueryHeap &forward_heap,
SearchEngineData<Algorithm>::QueryHeap &reverse_heap,
const PhantomNode &source_phantom,
const PhantomNode &target_phantom,
int duration_upper_bound = INVALID_EDGE_WEIGHT);
} // namespace ch
} // namespace routing_algorithms
} // namespace engine
} // namespace osrm
#endif // OSRM_ENGINE_ROUTING_BASE_CH_HPP