Time-Dependent Contraction Hierarchies is a routing technique that solves the shortest path problem in graphs with time-dependent edge weights, that have to satisfy the FIFO property. Although it shows great speedups over Dijkstra’s Algorithm the preprocessing is slow. We present a parallelized version of the preprocessing taking advantage of the multiple cores present in todays CPUs. Nodes in-dependent of one another are found and processed in parallel. We give experimental results for the German road network. With 4 and 8 cores a speedup of up to 3.4 and 5.3 is achieved respectively.
We present a parallel priority data structure that improves the running time of certain algorithms f...
We present a new heuristic point-to-point shortest path algorithm based on contraction hierarchies (...
Graph partitioning has many applications. We consider the acceleration of shortest path queries in r...
Abstract. Server based route planning in road networks is now powerful enough to find quickest paths...
Contraction hierarchies are a simple hierarchical routing technique that has proved extremely effici...
Contraction hierarchies are a simple hierarchical rout-ing technique that has proved extremely effic...
Efficiently computing shortest paths is an essential building block of many mobility applications, m...
Design and experimental evaluation of route planning algorithms for time-dependent road networks, wh...
In the shortest path problem we have a weighted graph, a source vertex and a target vertex as an inp...
PHAST is to date one of the fastest algorithms for performing single source shortest path (SSSP) que...
We consider the problem of computing shortest paths subject to an additional resource constraint suc...
Contraction hierarchy is the new idea of route planning technique. The theory is merely based on the...
In this paper we consider a variant of the multi-criteria shortest path problem where the different ...
For a long time, the problem of computing a shortest path in a dynamic graph has been received a lot...
In this paper we consider a variant of the multi-criteria short-est path problem where the different...
We present a parallel priority data structure that improves the running time of certain algorithms f...
We present a new heuristic point-to-point shortest path algorithm based on contraction hierarchies (...
Graph partitioning has many applications. We consider the acceleration of shortest path queries in r...
Abstract. Server based route planning in road networks is now powerful enough to find quickest paths...
Contraction hierarchies are a simple hierarchical routing technique that has proved extremely effici...
Contraction hierarchies are a simple hierarchical rout-ing technique that has proved extremely effic...
Efficiently computing shortest paths is an essential building block of many mobility applications, m...
Design and experimental evaluation of route planning algorithms for time-dependent road networks, wh...
In the shortest path problem we have a weighted graph, a source vertex and a target vertex as an inp...
PHAST is to date one of the fastest algorithms for performing single source shortest path (SSSP) que...
We consider the problem of computing shortest paths subject to an additional resource constraint suc...
Contraction hierarchy is the new idea of route planning technique. The theory is merely based on the...
In this paper we consider a variant of the multi-criteria shortest path problem where the different ...
For a long time, the problem of computing a shortest path in a dynamic graph has been received a lot...
In this paper we consider a variant of the multi-criteria short-est path problem where the different...
We present a parallel priority data structure that improves the running time of certain algorithms f...
We present a new heuristic point-to-point shortest path algorithm based on contraction hierarchies (...
Graph partitioning has many applications. We consider the acceleration of shortest path queries in r...