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Mon, 24 Apr 2006 19:02:34 +0200Mon, 24 Apr 2006 19:02:34 +0200Stop Location Design in Public Transportation Networks: Covering and Accessibility Objectives
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1727
In StopLoc we consider the location of new stops along the edges of an existing public transportation network. Examples of StopLoc include the location of bus stops along some given bus routes or of railway stations along the tracks in a railway system. In order to measure the ''convenience'' of the location decision for potential customers in given demand facilities, two objectives are proposed. In the first one, we give an upper bound on reaching a closest station from any of the demand facilities and minimize the number of stations. In the second objective, we fix the number of new stations and minimize the sum of the distances between demand facilities and stations. The resulting two problems CovStopLoc and AccessStopLoc are solved by a reduction to a classical set covering and a restricted location problem, respectively. We implement the general ideas in two different environments - the plane, where demand facilities are represented by coordinates and in networks, where they are nodes of a graph.Dwi Retnani Poetranto; Horst. W. Hamacher; Simone Horn; Anita Schöbelpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1727Mon, 24 Apr 2006 19:02:34 +0200Locating New Stops in a Railway Network
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1209
Given a railway network together with information on the population and their use of the railway infrastructure, we are considering the e ffects of introducing new train stops in the existing railway network. One e ffect concerns the accessibility of the railway infrastructure to the population, measured in how far people live from their nearest train stop. The second effect we study is the change in travel time for the railway customers that is induced by new train stops. Based on these two models, we introduce two combinatorial optimization problems and give NP-hardness results for them. We suggest an algorithmic approach for the model based on travel time and give first experimental results.Horst W. Hamacher; Annegret Liebers; Anita Schöbel; Dorothea Wagner; Frank Wagnerpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1209Thu, 10 May 2001 00:00:00 +0200A Note on Center Problems with forbidden Polyhedra
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/522
The problem of finding an optimal location X* minimizing the maximum Euclidean distance to existing facilities is well solved by e.g. the Elzinga-Hearn algorithm. In practical situations X* will however often not be feasible. We therefore suggest in this note a polynomial algorithm which will find an optimal location X^F in a feasible subset F of the plane R^2Horst W. Hamacher; Anita Schöbelpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/522Mon, 03 Apr 2000 00:00:00 +0200On Center Cycles in Grid Graphs
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/846
Finding "good" cycles in graphs is a problem of great interest in graph theory as well as in locational analysis. We show that the center and median problems are NP hard in general graphs. This result holds both for the variable cardinality case (i.e. all cycles of the graph are considered) and the fixed cardinality case (i.e. only cycles with a given cardinality p are feasible). Hence it is of interest to investigate special cases where the problem is solvable in polynomial time. In grid graphs, the variable cardinality case is, for instance, trivially solvable if the shape of the cycle can be chosen freely. If the shape is fixed to be a rectangle one can analyse rectangles in grid graphs with, in sequence, fixed dimension, fixed cardinality, and variable cardinality. In all cases a com plete characterization of the optimal cycles and closed form expressions of the optimal objective values are given, yielding polynomial time algorithms for all cases of center rectangle problems. Finally, it is shown that center cycles can be chosen as rectangles for small cardinalities such that the center cycle problem in grid graphs is in these cases completely solved.Horst W. Hamacher; Anita Schöbelpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/846Fri, 17 Sep 1999 00:00:00 +0200