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AUTOMATIC TRAIN COMPOSITION

Assoc. Prof. Dr. Oldrich Kodym, Dr. Libor Kavka, Dr. Michal Sedlacek

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s07.023View metrics

Abstract

Paper deals with important aspect of organization and implementation of transport operations and transport processes between points of origin and points of consumption in order to meet requirements of GS1 standards to fulfill supply chain needs. Designed information system (hardware, software and communication features) is installed on each logistic unit (wagon, container etc.). This allows to use extended self AutoID functions for low level data preprocessing. Paper focuses on train composition of both rail and road trainset from point of view of usable algorithms for automated verification (using means of Internet of things) of process correctness. This way conformity between real trainset and its representation in logistic information system can be ensured and possible human fail can be corrected and eliminated. Simple model of the system is presented too.

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Publication details

Title
AUTOMATIC TRAIN COMPOSITION
Authors
Assoc. Prof. Dr. Oldrich Kodym, Dr. Libor Kavka, Dr. Michal Sedlacek
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
175-182
SWS Citekey
Kodym20177175182
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
traintransportationautoidentificationlogisticsinformation system
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