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Transforming Transport

Deliverables

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

Publications

Risk-based proactive process adaptation

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
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

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

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

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

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

Automatic Anomaly Detection over Sliding Windows - Grand Challenge

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
DOI: 10.1145/3093742.3095105

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

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
DOI: 10.1109/SEAA.2018.00051

Incremental Verification of Complex Event Processing Applications for System Monitoring

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
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

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

Transforming Transport

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

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

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

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

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

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

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

Predictive Business Process Monitoring Considering Reliability Estimates

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

Proactive Process Adaptation Using Deep Learning Ensembles

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
DOI: 10.1007/978-3-030-21290-2_34