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CORDIS - EU research results
CORDIS

Transforming Transport

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Period 3 Impact & KPI Achievement Report and Plan (opens in new window)

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

Connected vehicles pilots design (opens in new window)
Report on IPR & Data management (opens in new window)
Data Management Plan V4 (opens in new window)

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

Impact of Big Data Technology in Dynamic Supply Chain Networks (opens in new window)
Proactive rail infrastructures pilots design (opens in new window)
Data Management Plan V5 (opens in new window)

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

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

Integrated Urban Mobility Pilots coordination

Data Management Plan V3 (opens in new window)

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

Data Management Plan V2 (opens in new window)

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 (opens in new window)
Dynamic Supply Chain Networks Pilots design (opens in new window)
Impact of Big Data Technology in Airports Hubs (opens in new window)
Project Management Handbook (opens in new window)

Project Management guidelines to harmonise coordination procedures

Impact of Big Data Technology for connected vehicles (opens in new window)
KPI Assessment Framework (opens in new window)

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

Data Management Plan (opens in new window)

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 (opens in new window)
Analysis of Pilot Requirements for Big Data Use (opens in new window)
Lessons Learned and final recommendations for quality data integration (opens in new window)
Lessons Learned through cross-pilot analysis (opens in new window)
Policy Recommendations (opens in new window)

Policy Recommendations delivered by T3.5

Period 1 Impact Report and Plan (opens in new window)

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

Initial Impact Plan (opens in new window)

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

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

Initial recommendations for quality data integration

Period 2 Impact & KPI Achievement Report and Plan (opens in new window)

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

Publications

Risk-based proactive process adaptation (opens in new window)

Author(s): Andreas Metzger, Philipp Bohn
Published in: Service-Oriented Computing - 15th International Conference, ICSOC 2017, Malaga, Spain, November 13-16, 2017, Proceedings, 2017, Page(s) 351-366
Publisher: 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.

Author(s): Zampou, E., Milioti, C., Liapis, A., Rodrigalvarez, V., Flocke, F., Dimitrakopoulos, G., & Bravos, G.
Published in: TRA 2018 Conference Proceedings, 2018
Publisher: N/A

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

Author(s): Johan Scholliers, Sami Koskinen, Aleksi Vesanto
Published in: Proceedings of the 25th ITS World Congress, Copenhagen, 17-21 September 2018, 2018
Publisher: Ertico - ITS Europe

Predictive Business Process Monitoring unter Berücksichtigung von Genauigkeit und Risiko

Author(s): Andreas Metzger, Philipp Bohn, Felix Föcker
Published in: Software Engineering 2018, Konferenz des GI-Fachbereichs Soft- waretechnik, March 5–9 2018, Ulm, Germany, 2018
Publisher: GI

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

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

The TransformingTransport project - Mobility meets big data

Author(s): Rodrigo Castiñeira, Andreas Metzger
Published in: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria, 2018
Publisher: TBD

Automatic Anomaly Detection over Sliding Windows - Grand Challenge (opens in new window)

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

Considering Non-sequential Control Flows for Process Prediction with Recurrent Neural Networks (opens in new window)

Author(s): Andreas Metzger, Adrian Neubauer
Published in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Issue August, 2018, 2018, Page(s) 268-272, ISBN 978-1-5386-7383-6
Publisher: IEEE
DOI: 10.1109/SEAA.2018.00051

Incremental Verification of Complex Event Processing Applications for System Monitoring (opens in new window)

Author(s): Andreas Metzger, Christian Reinartz, Klaus Pohl
Published in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Issue August, 2018, 2018, Page(s) 293-297, ISBN 978-1-5386-7383-6
Publisher: IEEE
DOI: 10.1109/SEAA.2018.00055

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

Author(s): J. Scholliers, S. Koskinen, A. Vesanto
Published in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Publisher: Ertico ITS Europe

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

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

Transforming Transport

Author(s): R.Castineira
Published in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Publisher: Ertico ITS Europe

Detection of anomalies in urban traffic from open data

Author(s): J. Kilpi, S. Koskinen, J. Scholliers
Published in: 13th IST European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Publisher: Ertico ITS Europe

Deployment of a big data platform for traffic prediction on highways

Author(s): M.Carpio
Published in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Publisher: Ertico ITS Europe

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

Author(s): Miguel Carpio, Pablo E. Fernandez Vivanco, Rodrigo Castiñeira, José Luis Guerrero, Jesús Lacosta Gimeno
Published in: 13th IST European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Publisher: Ertico ITS Europe

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

Author(s): A. Metzger, J. Thornton, F. Valverde, J. F. G. Lopez, and D. Rublova
Published in: 13th IST European Congress, Brainport, Eindhiven, the Netherlands, June 3-6, 2019, 2019
Publisher: Ertico ITS Europe

Optimized Application Deployment in the Fog

Author(s): Zoltán Adám Mann, Andreas Metzger, Johannes Prade, Robert Seidl
Published in: 17th Int’l Conference on Service-Oriented Computing (ICSOC 2019), Toulouse, France, October 28-31, 2019, Issue 2019, 2019, Page(s) NN
Publisher: Springer

Data-driven deep learning for proactive terminal process management

Author(s): Andreas Metzger, Johannes Franke, Thomas Jansen
Published in: Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019), Vienna, Austria, September 1-6, 2019, Issue 2019, 2019, Page(s) 190-201
Publisher: CEUR

Predictive Business Process Monitoring Considering Reliability Estimates (opens in new window)

Author(s): Andreas Metzger, Felix F?cker
Published in: 29th International Conference on Advanced Information Systems Engineering, 2017, Page(s) 445-460
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-59536-8_28

Proactive Process Adaptation Using Deep Learning Ensembles (opens in new window)

Author(s): Andreas Metzger, Adrian Neubauer, Philipp Bohn, Klaus Pohl
Published in: Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings, Issue 11483, 2019, Page(s) 547-562, ISBN 978-3-030-21289-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-21290-2_34

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