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Transforming Transport

Resultado final

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

Connected vehicles pilots design

Report on IPR & Data management

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

Impact of Big Data Technology in Dynamic Supply Chain Networks

Proactive rail infrastructures pilots design

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

Impact of Big Data technology in Smart Highways

IPR & Data management approach

IPR & Data management approach

Smart Highways Pilots Coordination & Design

Smart Highways Pilots Coordination & Design

Impact of Big Data Technology in predictive rail asset management

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

Pilot Coordination Methodology Handbook

Dynamic Supply Chain Networks Pilots design

Dynamic Supply Chain Networks Pilots design

Impact of Big Data Technology in Airports Hubs

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

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

Smart Airport Turnaround Pilots design

Analysis of Pilot Requirements for Big Data Use

Analysis of Pilot Requirements for Big Data Use

Lessons Learned and final recommendations for quality data integration

Lessons Learned and final recommendations for quality data integration

Lessons Learned through cross-pilot analysis

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 on Integrated Urban Mobility

Impact of Big Data Technology in Port Hubs

Impact of Big Data Technology in Port Hubs

Port Pilots design

Port Pilots design

Initial recommendations for quality data integra-tion

Initial recommendations for quality data integra-tion

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.

TransformingTransport Open Data Portal

TransformingTransport Open Data Portal delivered by T3.3

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Publicaciones

Risk-based proactive process adaptation

Autores: Andreas Metzger, Philipp Bohn
Publicado en: Service-Oriented Computing - 15th International Conference, ICSOC 2017, Malaga, Spain, November 13-16, 2017, Proceedings, 2017, Page(s) 351-366
Editor: 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.

Autores: Zampou, E., Milioti, C., Liapis, A., Rodrigalvarez, V., Flocke, F., Dimitrakopoulos, G., & Bravos, G.
Publicado en: TRA 2018 Conference Proceedings, 2018
Editor: N/A

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

Autores: Johan Scholliers, Sami Koskinen, Aleksi Vesanto
Publicado en: Proceedings of the 25th ITS World Congress, Copenhagen, 17-21 September 2018, 2018
Editor: Ertico - ITS Europe

Predictive Business Process Monitoring unter Berücksichtigung von Genauigkeit und Risiko

Autores: Andreas Metzger, Philipp Bohn, Felix Föcker
Publicado en: Software Engineering 2018, Konferenz des GI-Fachbereichs Soft- waretechnik, March 5–9 2018, Ulm, Germany, 2018
Editor: GI

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

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

The TransformingTransport project - Mobility meets big data

Autores: Rodrigo Castiñeira, Andreas Metzger
Publicado en: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria, 2018
Editor: TBD

Automatic Anomaly Detection over Sliding Windows - Grand Challenge

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

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

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

Incremental Verification of Complex Event Processing Applications for System Monitoring

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

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

Autores: J. Scholliers, S. Koskinen, A. Vesanto
Publicado en: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editor: Ertico ITS Europe

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

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

Transforming Transport

Autores: R.Castineira
Publicado en: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editor: Ertico ITS Europe

Detection of anomalies in urban traffic from open data

Autores: J. Kilpi, S. Koskinen, J. Scholliers
Publicado en: 13th IST European Congress, Brainport, Eindhoven, the Netherlands, June 3-6, 2019, 2019
Editor: Ertico ITS Europe

Deployment of a big data platform for traffic prediction on highways

Autores: M.Carpio
Publicado en: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editor: Ertico ITS Europe

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

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

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

Autores: A. Metzger, J. Thornton, F. Valverde, J. F. G. Lopez, and D. Rublova
Publicado en: 13th IST European Congress, Brainport, Eindhiven, the Netherlands, June 3-6, 2019, 2019
Editor: Ertico ITS Europe

Optimized Application Deployment in the Fog

Autores: Zoltán Adám Mann, Andreas Metzger, Johannes Prade, Robert Seidl
Publicado en: 17th Int’l Conference on Service-Oriented Computing (ICSOC 2019), Toulouse, France, October 28-31, 2019, 2019, 2019, Page(s) NN
Editor: Springer

Data-driven deep learning for proactive terminal process management

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

Predictive Business Process Monitoring Considering Reliability Estimates

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

Proactive Process Adaptation Using Deep Learning Ensembles

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