Class TLcdShortestRouteAlgorithm

java.lang.Object
com.luciad.network.algorithm.routing.TLcdShortestRouteAlgorithm
All Implemented Interfaces:
ILcdShortestRouteAlgorithm

public class TLcdShortestRouteAlgorithm extends Object implements ILcdShortestRouteAlgorithm
Implementation of a shortest route algorithm. The algorithm is based on the well-known Dijkstra algorithm, but is adapted to work with complex edge value functions.
Since:
5.1
  • Constructor Details

    • TLcdShortestRouteAlgorithm

      public TLcdShortestRouteAlgorithm()
      Constructs a new TLcdShortestRouteAlgorithm.
  • Method Details

    • getShortestRoute

      public <N, E> ILcdRoute<N,E> getShortestRoute(ILcdGraph<N,E> aGraph, ILcdRoute<N,E> aPrecedingRoute, ILcdRoute<N,E> aSucceedingRoute, ILcdEdgeValueFunction<N,E> aEdgeValueFunction, ILcdDistanceFunction<N,E> aDistanceFunction)
      Description copied from interface: ILcdShortestRouteAlgorithm
      Returns an ILcdRoute describing the shortest route between aPrecedingRoute and aSucceedingRoute.
      Specified by:
      getShortestRoute in interface ILcdShortestRouteAlgorithm
      Parameters:
      aGraph - the graph for which the route is to be calculated.
      aPrecedingRoute - the route preceding the shortest route, i.e. where the first edge of the shortest route should connect to. Only the last n edges of this route will have an influence on the result, where n is equal to the order of the given ILcdEdgeValueFunction.
      aSucceedingRoute - the route succeeding the shortest route, i.e. where the last edge of the shortest route should connect to. Only the first n edges of this route will have an influence on the result, where n is equal to the order of the given ILcdEdgeValueFunction.
      aEdgeValueFunction - a function that associates a cost with each edge
      aDistanceFunction - a distance function, indicating the estimate cost to travel from one node to another. This function can be used to accelerate the search process. Note that this estimate should always be an underestimate of the real remaining distance, in order to result in an optimal solution. A heuristic function, although it can greatly increase the performance is not required for the algorithm to work - it may be null.
      Returns:
      The shortest route between the two given routes, or null if no such route is found.