Detail publikace

Optimization of Process Field Measurement GNSS-RTK for Railway Infrastructure

BARTONĚK, D. BUREŠ, J. ŠVÁBENSKÝ, O.

Originální název

Optimization of Process Field Measurement GNSS-RTK for Railway Infrastructure

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

The paper describes measurements in field on points of railway control by the GNSS-RTK method. 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-RTK surveying in nodes are suitable only at certain time intervals during the day. Generally the above mentioned task is NP - completely problem, 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 - event list. The optimization of field measurement solves the time demands and brings economic effectiveness. The algorithm was implemented in Borland Delphi environment.

Klíčová slova

Railway, GNSS-RTK, Optimization, Hamilton’s path

Autoři

BARTONĚK, D.; BUREŠ, J.; ŠVÁBENSKÝ, O.

Vydáno

1. 12. 2016

Nakladatel

Solid State Phenomena

Místo

Switzerland

ISBN

978-3-03835-626-4

Kniha

Solid State Phenomena Materials Structure & Micromechanics of Fracture VIII

Edice

softcover

Číslo edice

258

ISSN

1012-0394

Periodikum

Solid State Phenomena

Ročník

B

Číslo

1

Stát

Švýcarská konfederace

Strany od

481

Strany do

484

Strany počet

4

URL

BibTex

@article{BUT130152,
  author="Dalibor {Bartoněk} and Jiří {Bureš} and Otakar {Švábenský}",
  title="Optimization of Process Field Measurement GNSS-RTK for Railway Infrastructure",
  journal="Solid State Phenomena",
  year="2016",
  volume="B",
  number="1",
  pages="481--484",
  doi="10.4028/www.scientific.net/SSP.258.481",
  issn="1012-0394",
  url="http://www.scientific.net/SSP.258.481"
}