Feasibility study for detection and analysis of safety-relevant parameters

01.12.2007 - 31.12.2008

Forschungsförderungsprojekt

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.

Personen

Projektleiter_in

Martin Kozek (E325)

Projektmitarbeiter_innen

Martin Tiefenbacher (E325)

Institut

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)

Forschungsschwerpunkte

Computational System Design: 100%

Schlagwörter

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

Externe Partner_innen

Siemens Transportation Systems

Publikationen

Publikationsliste