Abstract
During the last years, many speed-up techniques for Dijkstra’s algorithm have been developed. As a result, computing a shortest path in a static road network is a matter of microseconds. However, only few of those techniques work in time-dependent networks. Unfortunately, such networks appear frequentely in reality: Roads are predictably congestured by traffic jams, and efficient timetable information systems rely on time-dependent networks. Hence, a fast technique for routing in such networks is needed. In this work, we present an exact time-dependent speed-up technique based on our recent SHARC-algorithm. As a result, we are able to efficiently compute shortest paths in time-dependent continental-sized transportation networks, both of roads and of railways.KeywordsShort PathRoad NetworkInterpolation PointRailway NetworkTimetable DataThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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