Feasibility study for detection and analysis of safety-relevant parameters

01.12.2007 - 31.12.2008

Research funding project

Safety-relevant parameters for the operation of railways will be obtained and analyzed based on track as wells as vehicle data, respectively. Using Neural Networks not only a safety criterion will be calculated but the contribution of track- and vehicle-parameters will be quantified and balanced.

People

Project leader

Martin Kozek (E325)

Project personnel

Martin Tiefenbacher (E325)

Institute

E325 - Institute of Mechanics and Mechatronics

Grant funds

BM f. Klimaschutz, Umwelt, Energie, Mobilität, Innovation u.Technologie (National) Federal Ministry of Transport, Innovation and Technology (bm:vit)

Research focus

Computational System Design: 100%

Keywords

German	English
Sicherheit bei Eisenbahnen	safety in rail transport
Fahrzeugdynamik	vehicle dynamics
Oberbau	pavement
Messtechnik	measurement
Künstliche Neuronale Netze	artificial neural nets

External partner

Siemens Transportation Systems

Publications

Publications