Transforming Transport

Informazioni relative al progetto

TT

ID dell’accordo di sovvenzione: 731932

DOI

10.3030/731932

Progetto chiuso

Data della firma CE 7 Novembre 2016

Data di avvio 1 Gennaio 2017

Data di completamento 31 Luglio 2019

Finanziato da

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

Costo totale

€ 18 703 369,39

Contributo UE

€ 14 631 935,45

Coordinato da

INDRA SISTEMAS SA
Spain

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 (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

Pubblicazioni

Conference proceedings (19)

Risk-based proactive process adaptation

Autori: Andreas Metzger, Philipp Bohn
Pubblicato in: Service-Oriented Computing - 15th International Conference, ICSOC 2017, Malaga, Spain, November 13-16, 2017, Proceedings, 2017, Pagina/e 351-366
Editore: 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.

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

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

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

Predictive Business Process Monitoring unter Berücksichtigung von Genauigkeit und Risiko

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

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

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

The TransformingTransport project - Mobility meets big data

Autori: Rodrigo Castiñeira, Andreas Metzger
Pubblicato in: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria, 2018
Editore: TBD

Automatic Anomaly Detection over Sliding Windows - Grand Challenge

Autori: Tarek Zaarour, Niki Pavlopoulou, Souleiman Hasan, Umair ul Hassan, Edward Curry
Pubblicato in: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems - DEBS '17, 2017, Pagina/e 310-314, ISBN 9781-450350655
Editore: ACM Press
DOI: 10.1145/3093742.3095105

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

Autori: Andreas Metzger, Adrian Neubauer
Pubblicato in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Numero August, 2018, 2018, Pagina/e 268-272, ISBN 978-1-5386-7383-6
Editore: IEEE
DOI: 10.1109/SEAA.2018.00051

Incremental Verification of Complex Event Processing Applications for System Monitoring

Autori: Andreas Metzger, Christian Reinartz, Klaus Pohl
Pubblicato in: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Numero August, 2018, 2018, Pagina/e 293-297, ISBN 978-1-5386-7383-6
Editore: IEEE
DOI: 10.1109/SEAA.2018.00055

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

Autori: J. Scholliers, S. Koskinen, A. Vesanto
Pubblicato in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editore: Ertico ITS Europe

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

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

Transforming Transport

Autori: R.Castineira
Pubblicato in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editore: Ertico ITS Europe

Detection of anomalies in urban traffic from open data

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

Deployment of a big data platform for traffic prediction on highways

Autori: M.Carpio
Pubblicato in: ITS World Congress 2018, Copenhagen, Denmark, September 17-21, 2018, 2018
Editore: Ertico ITS Europe

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

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

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

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

Optimized Application Deployment in the Fog

Autori: Zoltán Adám Mann, Andreas Metzger, Johannes Prade, Robert Seidl
Pubblicato in: 17th Int’l Conference on Service-Oriented Computing (ICSOC 2019), Toulouse, France, October 28-31, 2019, Numero 2019, 2019, Pagina/e NN
Editore: Springer

Data-driven deep learning for proactive terminal process management

Autori: Andreas Metzger, Johannes Franke, Thomas Jansen
Pubblicato in: Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019), Vienna, Austria, September 1-6, 2019, Numero 2019, 2019, Pagina/e 190-201
Editore: CEUR

Predictive Business Process Monitoring Considering Reliability Estimates

Autori: Andreas Metzger, Felix F?cker
Pubblicato in: 29th International Conference on Advanced Information Systems Engineering, 2017, Pagina/e 445-460
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59536-8_28

Book chapters (1)

Proactive Process Adaptation Using Deep Learning Ensembles

Autori: Andreas Metzger, Adrian Neubauer, Philipp Bohn, Klaus Pohl
Pubblicato in: Advanced Information Systems Engineering - 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings, Numero 11483, 2019, Pagina/e 547-562, ISBN 978-3-030-21289-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-21290-2_34