GoSAFE RAIL – Global Safety Management Framework for RAIL Operations

Informazioni relative al progetto

GoSAFE RAIL

ID dell’accordo di sovvenzione: 730817

DOI

10.3030/730817

Progetto chiuso

Data della firma CE 20 Ottobre 2016

Data di avvio 1 Ottobre 2016

Data di completamento 30 Settembre 2019

Finanziato da

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Costo totale

€ 1 298 750,00

Contributo UE

€ 1 298 750,00

Coordinato da

GAVIN AND DOHERTY GEOSOLUTIONS LTD
Ireland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (25)

Gender Survey

Gender Survey: Survey to determine the gender balance within the consortium

Data management standard
Guideline document on railway safety indicators
Report on big data integration
Report: Risk assessment & risk ranking
Report on validation and training of the model
Report on integration of algorithm into micro-planning simulation
Kick-Off Meeting Report
Report on monitoring data usage for infrastructure objects (e.g. slopes, bridges) risk assessment

Report on monitoring data usage for infrastructure objects (e.g. bridges, slopes) for risk assessment

Report on Decision Support Tool

Report on the Decision Support Tool

Report on railway safety indicators

Report on railway global safety indicators: A review of key problems from a safety perspective faced by Railway IM’s (e.g. slope instability, bridge scour, switches and tracks and structures) using case histories will be compiled and Global Safety Key Performance Indicators (GSKPIs) will be identified. Consideration will be given to how changes in use (increased speed and or loading), climate change etc. might affect the safety performance of infrastructure and cause increased incidence of existing or new heretofore unseen problems. Additionally to the case histories of incidents (which are actually very low for railways), we will develop new concept for GSKPIs, based on the near miss approach which assumes that near misses and accidents have the same relative causal patterns.

Guideline document on unified safety framework
Data Management Plan

Data management plan.

Report on Global Safety Framework
Modular open source repository

Modular open source repository with documentation

Report on microseismic monitoring and early warning system
Dissemination Strategy Plan
Report on the results of Case Study 1 – Croatia

Report on the results of Case Study 1

Review of Data management Plan

Review of data management plan.

Report on Information Management System
Guideline document on object detection
Report on monitoring system for obstruction detection

Report on monitoring system for obstruction detection.

Report on the results of Case Study 2 – Ireland
Pre-standardisation document for advanced risk assessment of railway infrastructure

Pre-standardisation document for advanced risk assessment of railway infrastructure: A descrition of the risk ranking methodology framework will be developed that takes into consideration the role of the object in the network, the states/conditions of the other objects in the network, and the ability to either manage these risks while ensuring that minimum threshold levels (e.g. for safety) are not breached.

Guideline document on global risk assessment

Open Research Data Pilot (1)

Open Reserach Data Pilot

Open Research Data Pilot: An online tool will be developed to allow researchers to access public data from the GoSAFE RAOL project.

Websites, patent fillings, videos etc. (1)

Website

Development and hosting of project website.

Pubblicazioni

Conference proceedings (13)

Simulation of actual network performance using Kronecker algebra for optimization of traffic flow

Autori: Schöbel, A., Aksentijević, J., Hürlimann, D.
Pubblicato in: VI International Symposium of Transport and Communications: New Horizons 2017, Numero 17-18 November 2017, 2017, Pagina/e 1-10
Editore: Faculty of Transport and Traffic Engineering, University of East Sarajevo

Simulation of actual network performance using Kronecker algebra for optimization of traffic flow

Autori: Schöbel, A., Aksentijević, J.
Pubblicato in: 4th BH (Bosnia and Herzegovina) Congress on Railways, Numero 26-27 October 2017, 2017
Editore: Association of Consulting Engineers of Bosnia and Herzegovina

Simulation of actual network performance using optimization algorithm

Autori: Aksentijević, J., Schöbel, A.
Pubblicato in: International Conference on Traffic Development, Logistics, & Sustainable Transport, Numero 1-2 June 2017, 2017, Pagina/e 13-20
Editore: Faculty of Transport and Traffic Sciences, University of Zagreb

Simulation of actual network performance using Kronecker algebra for optimization of traffic flow

Autori: Schöbel, A., Aksentijević, J.
Pubblicato in: XXIII International Scientific Conference: Transport 2017, Numero 12-14 October 2017, 2017
Editore: Todor Kableshkov University of Transport

Kronecker algebra for managing rail capacity

Autori: Schöbel, A., Schöbel, C., Blieberger, J.
Pubblicato in: 26th International Symposium on Electronics in Transport: ISEP2018, Numero 26-27 March 2018, 2018
Editore: Slovenian Intelligent Transport Systems Association

Kronecker algebra for optimisation of rail traffic flow on Zagreb – Rijeka line

Autori: Schöbel, A., Schöbel, C., Stefan, M., Blieberger, J
Pubblicato in: XVIII Scientific-Expert Conference on Railways – RAILCON ‘18, Numero 11-12 October 2018, 2018, Pagina/e 41-44
Editore: Faculty of Mechanical Engineering, University of Niš

Developing correlations between the soil fines content and CPT results using neural networks

Autori: Kovačević, M.S., Gavin, K.G., Reale, C., Libric, L., Jurić Kaćunić, D.
Pubblicato in: Proceedings of the XVII European Conference on Soil Mechanics and Geotechnical Engineering, Numero 1-5 September 2019, 2019, Pagina/e 1-8, ISBN 978-9935-9436-1-3
Editore: Icelandic Geotechnical Society

Data converter from OpenTrack into Kronecker

Autori: Schöbel, A., Schöbel, C.
Pubblicato in: International Scientific Conference on Transport and Logistics Industry in Digital Age, Numero 10-11 May 2018, 2018, Pagina/e 255-262
Editore: Faculty of Transport and Traffic Sciences, University of Zagreb

An open data taxonomy for support rail asset management

Autori: Hartmann, T., Ungureanu, L., Borun, E., Harasymczuk, D.
Pubblicato in: Proceedings of 7th Transport Research Arena: TRA 2018, Numero 16-19 April 2018, 2018
Editore: Federal Ministry for Transport, Innovation, and Technology, Republic of Austria

Application of monitoring data to risk assessment of bridges

Autori: Đuranović, M., Connolly, L., O’Connor, A., Bowe, C.
Pubblicato in: Proceedings of the Civil Engineering Research in Ireland Conference 2018, Numero 29-30 August 2018, 2018, Pagina/e 73-78
Editore: Civil Engineering Research Association of Ireland

Enhancing performance in railway operation by application of Kronecker algebra

Autori: Schöbel, A., Schöbel, C., Stefan, M., Blieberger, J.
Pubblicato in: International Conference on Traffic and Transport Engineering, Numero 27-28 September 2018, 2018, Pagina/e 113-117
Editore: Faculty of Transport and Traffic Engineering, University of Belgrade

Application of Kronecker algebra for railway line Zagreb – Rijeka

Autori: Schöbel, A., Blieberger, H., Schöbel, C.
Pubblicato in: 5th International Conference on Road and Rail Infrastructure: CETRA 2018, Numero 17-19 May 2018, 2018, Pagina/e 1261-1264
Editore: Faculty of Civil Engineering, University of Zagreb

Benchmark of delays simulated by OpenTrack and calculated by Kronecker algebra on Zagreb – Rijeka line

Autori: Schöbel, A., Schöbel, C., Blieberger, J., Stefan, M.
Pubblicato in: Proceedings of the International Scientific Conference “Science and Traffic Development”, Numero 9-10 May 2019, 2019, Pagina/e 371-375
Editore: Faculty of Transport and Traffic Sciences, University of Zagreb

Peer reviewed articles (2)

Automatic classification of fine-grained soils using CPT measurements and Artificial Neural Networks

Autori: Cormac Reale, Kenneth Gavin, Lovorka Librić, Danijela Jurić-Kaćunić
Pubblicato in: Advanced Engineering Informatics, Numero 36, 2018, Pagina/e 207-215, ISSN 1474-0346
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aei.2018.04.003

Trends in enhancement of safety aspects of existing railway infrastructure

Autori: Bačić, M., Gavin, K., Stipanović, I., Kovačević, M.S.
Pubblicato in: Engineering power : bulletin of the Croatian Academy of Engineering, Numero 13 (2018), 2018, Pagina/e 10-18, ISSN 1331-7210
Editore: Croatian Academy of Engineering

Other (1)

Enhancing capacity and performance in railway operation

Autori: Schöbel, A.
Pubblicato in: Club Feroviar Conference, Numero 5-6 March 2019, 2019
Editore: Club Feroviar