Transportation network realization with an optimization method
András Bakó, Tamás Hartványi, István Szűts
Abstract
András Bakó, Tamás Hartványi, István Szűts
Abstract
In connection with the network realization problem the main questions of the algorithm are which edges to choose and what is the budget consequence of that. These problems can be solved by exact optimization methods, but in this case the number of computational steps (additions and comparisons) is an exponential function of the number of nodes. For this reason usually heuristic methods are chosen for solving these problems. Some special problems can be formulated as maximal flow problems. To get the solution we use only maximal flow and shortest route algorithms. Thus we decrease the number of computations, but the size of the network will grow. In this paper, we describe this algorithm to solve the network realization problem. Then we give a transportation network realization problem and show how to solve this problem by the some algorithms.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In connection with the network realization problem the main questions of the algorithm are which edges to choose and what is the budget consequence of that. These problems can be solved by exact optimization methods, but in this case the number of computational steps (additions and comparisons) is an exponential function of the number of nodes. For this reason usually heuristic methods are chosen for solving these problems. Some special problems can be formulated as maximal flow problems. To get the solution we use only maximal flow and shortest route algorithms. Thus we decrease the number of computations, but the size of the network will grow. In this paper, we describe this algorithm to solve the network realization problem. Then we give a transportation network realization problem and show how to solve this problem by the some algorithms.
Key concepts: Realization (probability), Mathematical optimization, Flow network, Computer science, Heuristic, Multi-commodity flow problem, Computation, Optimization problem