Networks · 1981 · 141 citations · 6 references
ComputingComputer ScienceTransportation PlanningAlgorithmsComputational GeometryOptimizationGeometric OptimizationGraph AlgorithmsNetwork OptimizationRoute PlanningShortest Path AlgorithmsTransportation NetworksDijkstra's AlgorithmMinimum DistancePathfinding AlgorithmsShortest Path In Directed GraphsShortest Path PlanningShortest Path ProblemsShortest PathsTravel Distance Minimization
The problem is reduced to a finite network problem by geometrical arguments. The paper develops an efficient algorithm to find minimal rectilinear distance paths between origin–destination points while avoiding polygonal barriers. The algorithm constructs a network whose nodes are the points and barrier vertices, connects communicating node pairs with links weighted by rectilinear distance, builds a minimal‑distance tree from a root, and then applies a modified Dijkstra iteration that adds nodes by the minimum penalty distance caused by barriers. The authors analyze the computational complexity and illustrate the method with a numerical example.
Abstract Given a set of origin‐destination points in the plane and a set of polygonal barriers to travel, this paper develops an efficient algorithm for finding minimal distance feasible paths between the points, assuming that all travel occurs according to the rectilinear distance metric. By geometrical arguments the problem is reduced to a finite network problem. The nodes are the origin‐destination points and the barrier vertices. The links designate those node pairs that “communicate” in a simple way, where communication implies the existence of a node‐to‐node rectilinear path that is not made longer by the barriers. The weight of each link is the rectilinear distance between its two corresponding nodes. Solution of the minimal distance path problem on the network procedes in two steps. First, for a given origin or root node, a tree is generated containing a minimal distance path to each node that communicates with the root node. Second, a modified Dijkstra‐type iteration is utilized, starting with the nodes of the tree, sequentially adding nodes according to minimum “penalty distance,” where the penalty is the extra travel distance caused by the barriers. The paper concludes with a discussion of the computational complexity of the procedure, followed by a numerical example.
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A note on two problems in connexion with graphs
E. Dijkstra · Numerische Mathematik · 1959 · 23.8K citations
Robert W. Floyd · Communications of the ACM · 1962 · 4K citations · Full text
Stephen Warshall · Journal of the ACM · 1962 · 1.7K citations
An Appraisal of Some Shortest-Path Algorithms
Stuart E. Dreyfus · Operations Research · 1969 · 997 citations