Optimization of Process Field Measurement GNSS-RTK for Railway Infrastructure
The paper describes optimized measurements in field on points of railway control by the GNSS-RTK method. The purpose of measurement is to monitor the status of railroad track geometry. Good geometry extends the life of superstructure, reduces tracks and sleepers material wear during passing of the t...
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Veröffentlicht in: | Solid State Phenomena 2016-12, Vol.258, p.481-484 |
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description | The paper describes optimized measurements in field on points of railway control by the GNSS-RTK method. The purpose of measurement is to monitor the status of railroad track geometry. Good geometry extends the life of superstructure, reduces tracks and sleepers material wear during passing of the trains, and thus lowers the overall maintenance demands. In the model each of these points can be represented by node in graph and evaluation of graph edges corresponds to the distance between individual nodes. The task is to measure on every node even one times and to absolve the total route with minimal sum of distance. In fact it is searching of the Hamilton's path in a graph. The situation is complicated because the conditions for GNSS surveying in nodes are suitable only at certain time intervals during the day. Generally the above mentioned is difficult task, which is solved in the practice in many cases by heuristic methods. The authors proposed the optimization method based on Floyd algorithm and dynamic data structure - events list. The optimization of field measurement solves the time demands and brings economic effectiveness. |
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The purpose of measurement is to monitor the status of railroad track geometry. Good geometry extends the life of superstructure, reduces tracks and sleepers material wear during passing of the trains, and thus lowers the overall maintenance demands. In the model each of these points can be represented by node in graph and evaluation of graph edges corresponds to the distance between individual nodes. The task is to measure on every node even one times and to absolve the total route with minimal sum of distance. In fact it is searching of the Hamilton's path in a graph. The situation is complicated because the conditions for GNSS surveying in nodes are suitable only at certain time intervals during the day. Generally the above mentioned is difficult task, which is solved in the practice in many cases by heuristic methods. The authors proposed the optimization method based on Floyd algorithm and dynamic data structure - events list. 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Good geometry extends the life of superstructure, reduces tracks and sleepers material wear during passing of the trains, and thus lowers the overall maintenance demands. In the model each of these points can be represented by node in graph and evaluation of graph edges corresponds to the distance between individual nodes. The task is to measure on every node even one times and to absolve the total route with minimal sum of distance. In fact it is searching of the Hamilton's path in a graph. The situation is complicated because the conditions for GNSS surveying in nodes are suitable only at certain time intervals during the day. Generally the above mentioned is difficult task, which is solved in the practice in many cases by heuristic methods. The authors proposed the optimization method based on Floyd algorithm and dynamic data structure - events list. 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subjects | Algorithms Data structures Graph theory Graphical representations Heuristic methods Nodes Optimization Railway tracks Superstructures Trains |
title | Optimization of Process Field Measurement GNSS-RTK for Railway Infrastructure |
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