Transforming Transport

Projektinformationen

TT

ID Finanzhilfevereinbarung: 731932

DOI

10.3030/731932

Projekt abgeschlossen

EK-Unterschriftsdatum 7 November 2016

Startdatum 1 Januar 2017

Enddatum 31 Juli 2019

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten

€ 18 703 369,39

EU-Beitrag

€ 14 631 935,45

Koordiniert durch

INDRA SISTEMAS SA
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (33)

Period 3 Impact & KPI Achievement Report and Plan

Period 3 Impact & KPI Achievement Report and Plan delivered by T3.1, T3.2, T3.4, T3.6.

Connected vehicles pilots design
Report on IPR & Data management
Data Management Plan V4

Data Management Plan V4 delivered by T3.3. New version of the DMP

Impact of Big Data Technology in Dynamic Supply Chain Networks
Proactive rail infrastructures pilots design
Data Management Plan V5

Data Management Plan V5 delivered by T3.3. New version of the DMP

Impact of Big Data technology in Smart Highways
IPR & Data management approach
Smart Highways Pilots Coordination & Design
Impact of Big Data Technology in predictive rail asset management
Integrated Urban Mobility Pilots design

Integrated Urban Mobility Pilots coordination

Data Management Plan V3

Data Management Plan V3 delivered by T3. New version of the D3.2.2 document.

Data Management Plan V2

Data Management Plan V2 delivered by T3.3, this document is a version of the D3.2 and also includes copies of opinion or confirmation by competent Institutional Data Protection Officer and/or authorization or notification by the National Data Protection Authority in case required in accordance with applicable data protection law. Thereby also including deliverables D11.2 from WP11.

Pilot Coordination Methodology Handbook
Dynamic Supply Chain Networks Pilots design
Impact of Big Data Technology in Airports Hubs
Project Management Handbook

Project Management guidelines to harmonise coordination procedures

Impact of Big Data Technology for connected vehicles
KPI Assessment Framework

KPI Assessment Framework [M6, R, PU] delivered by T3.1

Data Management Plan

Data Management Plan V1 delivered by T3.3, this document also includes copies of opinion or confirmation by competent Institutional Data Protection Officer and/or authorization or notification by the National Data Protection Authority in case required in accordance with applicable data protection law. Thereby also including deliverables D11.1 from WP11

Smart Airport Turnaround Pilots design
Analysis of Pilot Requirements for Big Data Use
Lessons Learned and final recommendations for quality data integration
Lessons Learned through cross-pilot analysis
Policy Recommendations

Policy Recommendations delivered by T3.5

Period 1 Impact Report and Plan

Period 1 Impact Report and Plan delivered by T3.1, T3.2, T3.4, and T3.6

Initial Impact Plan

Initial Impact Plan [M3, R, PU] delivered by T3.2

Impact of Big Data Technology on Integrated Urban Mobility
Impact of Big Data Technology in Port Hubs
Port Pilots design
Initial recommendations for quality data integra-tion

Initial recommendations for quality data integration

Period 2 Impact & KPI Achievement Report and Plan

Period 2 Impact & KPI Achievement Report and Plan delivered by T3.1, T3.2, T3.4, T3.6.

Open Research Data Pilot (1)

TransformingTransport Open Data Portal

TransformingTransport Open Data Portal delivered by T3.3

Websites, patent fillings, videos etc. (1)

TransformingTransport Website

Project website

Veröffentlichungen

Conference proceedings (19)

Risk-based proactive process adaptation

Autoren: Andreas Metzger, Philipp Bohn
Veröffentlicht in: Service-Oriented Computing - 15th International Conference, ICSOC 2017, Malaga, Spain, November 13-16, 2017, Proceedings, 2017, Seite(n) 351-366
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-69035-3_25

Big data analytics in e-commerce logistics: Findings from a systematic review and a case study.

Autoren: Zampou, E., Milioti, C., Liapis, A., Rodrigalvarez, V., Flocke, F., Dimitrakopoulos, G., & Bravos, G.
Veröffentlicht in: TRA 2018 Conference Proceedings, 2018
Herausgeber: N/A

Use of Social Media and Open Data for Mobility Services in Tampere

Autoren: Johan Scholliers, Sami Koskinen, Aleksi Vesanto
Veröffentlicht in: Proceedings of the 25th ITS World Congress, Copenhagen, 17-21 September 2018, 2018
Herausgeber: Ertico - ITS Europe

Predictive Business Process Monitoring unter Berücksichtigung von Genauigkeit und Risiko

Autoren: Andreas Metzger, Philipp Bohn, Felix Föcker
Veröffentlicht in: Software Engineering 2018, Konferenz des GI-Fachbereichs Soft- waretechnik, March 5–9 2018, Ulm, Germany, 2018
Herausgeber: GI

Value CoCreation (VCC) language design in the frame of a smart airport network case study

Autoren: C. Feltus, E. Proper, A. Metzger, J. Garcia Lopez, R. Castineira Gonzalez
Veröffentlicht in: 32nd Int’l Conference on Advanced Information Networking and Applications (AINA 2018), Kracow, Poland, May 16-18, 2018, 2018
Herausgeber: IEEE Computer Society

The TransformingTransport project - Mobility meets big data

Autoren: Rodrigo Castiñeira, Andreas Metzger
Veröffentlicht in: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria, 2018
Herausgeber: TBD

Automatic Anomaly Detection over Sliding Windows - Grand Challenge

Autoren: Tarek Zaarour, Niki Pavlopoulou, Souleiman Hasan, Umair ul Hassan, Edward Curry
Veröffentlicht in: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems - DEBS '17, 2017, Seite(n) 310-314, ISBN 9781-450350655
Herausgeber: ACM Press
DOI: 10.1145/3093742.3095105

Considering Non-sequential Control Flows for Process Prediction with Recurrent Neural Networks

Autoren: Andreas Metzger, Adrian Neubauer
Veröffentlicht in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Ausgabe August, 2018, 2018, Seite(n) 268-272, ISBN 978-1-5386-7383-6
Herausgeber: IEEE
DOI: 10.1109/SEAA.2018.00051

Incremental Verification of Complex Event Processing Applications for System Monitoring

Autoren: Andreas Metzger, Christian Reinartz, Klaus Pohl
Veröffentlicht in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Ausgabe August, 2018, 2018, Seite(n) 293-297, ISBN 978-1-5386-7383-6
Herausgeber: IEEE
DOI: 10.1109/SEAA.2018.00055

Use of Social Media and Open Data for Mobility Services in Tampere

Autoren: J. Scholliers, S. Koskinen, A. Vesanto
Veröffentlicht in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Herausgeber: Ertico ITS Europe

Big Data and Artificial Intelligence for optimising transport operations in railway, airport and highways

Autoren: R. Castiñeira, J.F. Garcia, S. Hurtado, J.L. Guerrero, A. Irala, N. Papagiannopoulus, M. Carpio, S. Cuevas, J, Conrado
Veröffentlicht in: 13th ITS European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Herausgeber: Ertico ITS Europe

Transforming Transport

Autoren: R.Castineira
Veröffentlicht in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Herausgeber: Ertico ITS Europe

Detection of anomalies in urban traffic from open data

Autoren: J. Kilpi, S. Koskinen, J. Scholliers
Veröffentlicht in: 13th IST European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Herausgeber: Ertico ITS Europe

Deployment of a big data platform for traffic prediction on highways

Autoren: M.Carpio
Veröffentlicht in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Herausgeber: Ertico ITS Europe

Transforming Transport - Big data and Machine Learning for traffic and accident predictions in Smart Highways

Autoren: Miguel Carpio, Pablo E. Fernandez Vivanco, Rodrigo Castiñeira, José Luis Guerrero, Jesús Lacosta Gimeno
Veröffentlicht in: 13th IST European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Herausgeber: Ertico ITS Europe

Predictive analytics and predictive maintenance innovation via big data: The case of TransformingTransport

Autoren: A. Metzger, J. Thornton, F. Valverde, J. F. G. Lopez, and D. Rublova
Veröffentlicht in: 13th IST European Congress, Brainport, Eindhiven, the Netherlands, June 3-6, 2019, 2019
Herausgeber: Ertico ITS Europe

Optimized Application Deployment in the Fog

Autoren: Zoltán Adám Mann, Andreas Metzger, Johannes Prade, Robert Seidl
Veröffentlicht in: 17th Int’l Conference on Service-Oriented Computing (ICSOC 2019), Toulouse, France, October 28-31, 2019, Ausgabe 2019, 2019, Seite(n) NN
Herausgeber: Springer

Data-driven deep learning for proactive terminal process management

Autoren: Andreas Metzger, Johannes Franke, Thomas Jansen
Veröffentlicht in: Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019), Vienna, Austria, September 1-6, 2019, Ausgabe 2019, 2019, Seite(n) 190-201
Herausgeber: CEUR

Predictive Business Process Monitoring Considering Reliability Estimates

Autoren: Andreas Metzger, Felix F?cker
Veröffentlicht in: 29th International Conference on Advanced Information Systems Engineering, 2017, Seite(n) 445-460
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-319-59536-8_28

Book chapters (1)

Proactive Process Adaptation Using Deep Learning Ensembles

Autoren: Andreas Metzger, Adrian Neubauer, Philipp Bohn, Klaus Pohl
Veröffentlicht in: Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings, Ausgabe 11483, 2019, Seite(n) 547-562, ISBN 978-3-030-21289-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-21290-2_34