GP-AIMS

GMES and picosatellitebased automatic identification- and monitoring system for the large-scale railway transportation


The aim of the GP-AIMS project is the development of a real-time planning and monitoring system for the rail bound transportation within the Eurasian continent. The globalized economy is characterized by a high degree of distributed tasks over far distances and by that dependent from a reliable commodity flow (crude materials, parts from suppliers or final goods etc.). In contrast to vessel or air transportation railway transportation is more efficient as well as environmentally friendly (railroad transportation has a 60x less CO2 emission than airplane; transportation time is 50% less than by a cargo vessel). However a major shortcoming of the large-scale railway transportation is presented by accidents faults and damages either on the transportation vehicle or the rails or the switches. Also environmental influences like floodings or rockfalls etc. up to robberies are a big risk, especially on the long distances in sparsely populated areas form a considerable threat. In order to overcome the mentioned shortcomings, it is aimed to merge information from different sources, such as:

  • GMES-Data, particularly TerraSAR-X, TanDEM-X
  • General earth observation information
  • Satellite based position determination, e.g. Galileo
  • Sensor information, on board of the railroad freight, forwarded by a picosatellite

Thereby an infrastructure will be created, that is capable of efficiently utilizing the benefits of rail-based transportation and at the same time is capable of dealing with the expected growth of this transportation sector.

Project Partners


Eureka Navigation Solutions ENS AG
Julius Maximilians Universität Würzburg
 
Philotech GmbH
Institut für Methodik der Fernerkundung im DLR 
Zentrum für Telematik e.V.
JSC Russian Space Systems AG (RSS)
Systemtechnik Taubenreuther STT GmbH und Kayser-Threde GmbH
Innoventeq GmbH

Contacts


For detailed information about the GP-AIMS project, interested people are requested to approach the team members:

Dr. Klaus Schilling
schi@informatik.uni-wuerzburg.de

Dipl.-Inform. Alexander Kleinschrodt
Research Assistant
kleinschrodt@informatik.uni-wuerzburg.de
+ 49-931-31-89121