Making transport more
sustainable and efficient
Parallel Session 1.3
Organised by the TransformingTransport Project
- Overview of the TT project and main challenges/Impact in the transport sector - What is this and why is it important - Adrián Irala (Indra)
- Introduction of the importance of Big Data in the logistics domain
- The TRIUMPH project - Matthias Prandtstetter (AIT)
- TT Ports as Intelligent Logistics Hubs - Mr Daniel Sáez Domingo (ITI)
- The CogLO Project - Kostas Kalaboukas (SingularLogic SA) & Giacomo Morabito (CNIT)
- Big-Data driven insights in the Supply Chain domain: The case of SELIS Project - Towards a Shared European Logistics Intelligent Information Space - Dr Ioannis Konstantinou (ICCS-CSLAB, NTUA)
- Introduction to the importance of Big Data in the Aviation domain:
- Introduction of the importance of Big Data in the Rail domain:
- The CONNECTIVE project - Big Data in the Shift2Rail JU Programme Connecting and Analysing the Digital Transport Ecosystem - Javier Saralegui (Indra)
- AI Opportunities in Mobility & Transport - Andreas Metzger (Paluno)
- Discussion on Q&A provided by the speakers and audience with the panel
- Moderator: Mrs Vivian Kiousi (INTRASOFT International SA & BDVA Mobility and Logistics Subgroup leader) briefing also on intros of every domain depicted in the agenda
- Rodrigo Castiñeira - R&D Program Manager (Indra’s Transport Business Unit) & Big Data and Big Data Lighthouse Coordinator (EU Project TransformingTransport)
- Vivian Kiousi TT - Impact Manager (INTRASOFT INTL)
- Andreas Metzger - Senior Business Development Manager & TT Scientific and Technical Coordinator (UDE)
From rising congestion to increased demand for public and commercial transit, the travel behaviour and transportation preferences of dwellers and companies are changing fast. At the heart of each of the current domain, challenges include the need for data and its capabilities and constraints as well as the need for good data. since currently in all modes of transport, there is a considerable quantity and diversity of data made available by policy changes to operators. Their use can improve performance, efficiency, service provision, safety and security. Data also enables operators to manage demand conflicts, customer service, environmental impacts and innovation.
Big Data plays a significant role in working towards the resolution of the abovementioned challenges inclusive on how smart cities and companies obtain their transportation targets and use and deploy ICT to enhance their transportation networks. Thanks to modern technology, data collection tools and analytics don’t have to slow transportation professionals down anymore in fact, these tools can be some of planners’ most valuable assets. To discuss on all these challenges TT invites willing contributors to a dedicated session that can showcase sustainable and efficient Big Data solutions in the domains of logistics, aviation and rail.
TransformingTransport project, in a continuous, seek for collaboration with other relevant projects and domain experts attempts to facilitate the discussion of making transport more sustainable and efficient. Accordingly, and in addition to presenting the key topics in relation to Big Data and highlighted case studies the various slots will rely on examining various questions by surveying their relevance after the various presentations. Hence, invite the audience to respond to showcased questions below and beyond.
The session aims to provide an overview of the below topics and more particularly:
- Short description overview of the TT project and main challenges /Impact in the transport sector (Adrián Irala, INDRA) (5 min)
- Introduction of the importance of Big Data in the logistics domain (5min) total session length (25 min)
- (Case Study TRIUMPH project) (5 min) (Matthias Prandtstetter, AIT) In the TRIUMPH project we proofed with a container terminal simulation the benefit of accurate estimated time of arrival predictions of incoming containers. These ETA predictions were based on a large dataset of travel time observations for road transportation as well as inland navigation. The outcome of the simulation was that on the one hand the energy consumption of the container terminal for reshuffling the containers could be significantly reduced while on the other hand the flow of goods could be improved since terminal operations could be optimized.
- Case study CogLO project (5 min) (Kostas Kalaboukas SINGULAR, Giacomo Morabito CNIT) COG-LO aims at providing innovative ICT solutions and business models for the Logistics Operation stakeholders to overcome the above-mentioned challenges. The main goal of the project is to create the necessary framework and tools that will enable future logistics processes to become more cognitive and collaborative-interoperable by: a) adding cognitive behaviour to all involved Logistics
- Case study TT Ports as Intelligent Logistics Hubs (5min) (Daniel Saez Domingo, ITI)).The two project pilots under this domain (Valencia Sea Port and Duisport Inland Port) are developing algorithms using Big Data to improve logistics operations in ports. This involves using predictive maintenance technology to identify failures in a spreader, the device used for lifting containers and cargo. Efforts concentrate on the development of a decision-making cockpit to support logistics planning
- Case study Selis project: Big-Data driven insights in the Supply Chain domain: The case of SELIS Project - Towards a Shared European Logistics Intelligent Information Space (5min) (Dr. Ioannis Konstantinou, ICCS-CSLAB NTUA) The SELIS Big Data Stack offers a suite of available descriptive and predictive (i.e., machine learning) distributed algorithms (deep neural networks, support vector machines, etc.) over collected data in the form of recipes to solve visibility, prediction and classification tasks. SELIS is offered either as a service through a cloud deployment of choice, or as a package that can be downloaded and installed inside the company’s premises. SELIS recipes are being developed for 8 different Living Labs and 10 use cases. We showcase how they solve a series of problems across the supply chain, indicatively the stock optimization problem for a large retailer and the route optimization / ETA prediction problem for a large railway undertaker.
- Introduction of the importance of Big Data in the Aviation domain (5min) total session length (15min)
- Case Study: ICARUS project (5 min) (Fenareti Lampathaki) ICARUS will address critical barriers for the adoption of Big Data in the aviation industry (e.g. data fragmentation, data provenance, data licensing and ownership, data veracity), and will enable aviation-related Big Data scenarios for EU-based companies, organizations and scientists, through a multi-sided platform that will allow exploration, curation, integration and deep analysis of original, synthesized and derivative data characterized by different velocity, variety and volume in a trusted and fair manner
- TT project Smart Turnaround and Passenger Flow pilot (5 min) (David Scarlatti, Boeing R&T - Europe) Jeppesen is working together with Boeing and SEA in this replication. The goal of the pilot is to improve aircraft turnaround processes at airports. As one of the key factors for increased operational efficiency is reduced down time of an aircraft, which means less time on ground, the replication pilot focuses on ETA (estimated time of arrival) prediction and airport turnaround.
- Introduction of the importance of Big Data in the Rail domain (5 min) total session length (10 min)
- The CONNECTIVE project: Big Data in the Shift2Rail JU Programme Connecting and Analysing the Digital Transport Ecosystem (Javier Saralegui, Indra) (5 min).
- AI Opportunities in Mobility & Transport (A. Metzger, paluno) 5 min
Discussion points 30 min discussion
- Which new services can we implement Existing tools and technologies used across other sectors
- Can we understand the user in a better way to set-up better services with a better customer experience?
- Which technological, business, and policy-related challenges we have to overcome?
- Which solutions are possible?
- Can we make the services more cost-efficient for the operators?
The session will further reach out to the audience during and after the various presentations to gather valuable feedback that aims in the formation of a common policy roadmap relating to the topics identified for Big Data in transport.
Ultimately, the results of the session, as fed by experts (including attendees of EBDVF 2018), will enable the identification of industry-led recommendations in relation to Big Data, with a focus on the transport sector to challenge the identified opportunities, barriers and limitation to exploit Big Data to achieve efficiency.
M.Sc. in Industrial Engineering. R&D Engineer at Indra’s Transport Business Unit.Part of the coordination team of Transforming Transport project. Works in the proposal and deployment of R&D projects at European level in the fields of connected vehicles and Intelligent Transport Systems.
Mag. DI Dr Matthias Prandtstetter, born in 1980, studied computer science at the Vienna University of Technology (MSc in 2005, PhD in 2010). In addition, he finished a course on informatics management (Master’s degree from VUT in 2007). From 2006 until 2010 Prandtstetter worked as a research assistant at the Institute for Computer Graphics and Algorithms at VUT. Since 2010 he has been part of the Dynamic Transportation Systems team of AIT Mobility. Since 2015, he is leading the group focusing on transport optimisation and logistics in combination with traffic information. In addition, he is since 2016 working as Senior Scientist on this topic. Prandtstetter is a certified project manager and author of numerous publication. In addition, he works as a reviewer for a multitude of high-quality scientific journals.
Mr Daniel Sáez Domingo
Daniel Sáez Domingo. Telecommunication Engineering from Polytechnic University of Valencia (2001) and Master in Business Administration and management by EOI Business School. His professional experience covers areas in the field of project and area management, innovation policies, competitive intelligence and strategy in ICT (Information and Communication Technologies) sector. He is the Strategic and Competitive Intelligence Director in ITI, where is in charge of leading the Business Development based on R&D&I projects, establishing collaborative partnerships and consolidating the reference position at national and international level. Daniel is a member of the Board of Directors of Big Data Value Association and has been actively involved in the creation of the BDV PPP and 5G PPP, coordinating ITI’s contributions to them. He also represents ITI in other European platforms, like ARTEMIS, NESSI, AIOTI or Networld2020. Daniel has led more than 10 collaborative projects in ITI.
Mr Kostas Kalaboukas is Senior Project Manager in SingularLogic SA, responsible for projects on Supply Chain and Smart Cities. He has wide experience in different positions (ERP consultant, Quality and Risk Manager, Project Manager), working for more than 20 projects at EU and national level. He is joining SingularLogic since 2003.
"Giacomo Morabito received the Laurea degree cum laude in Electronic Engineering and the PhD in Electronic, Computer and Communication Engineering from the University of Catania (Italy) in 1996 and 2000, respectively.
From 1999 to 2001 he was a research engineer at the Broadband and Wireless Networking Laboratory of the Georgia Institute of Technology (Atlanta, GA, USA).
Since 2001 he is with the Department of Electric, Electronic, and Computer Engineering of the University of Catania where he is currently a full professor of telecommunications.
Giacomo Morabito has served or is serving in the Editorial Board of Elsevier Computer Networks, IEEE Wireless Communications, Wireless Networks, and IEEE Networking Letters.
He has been the General Chair of ACM NanoCom and has been one of the founders and steering committee member of the ACM ICN conference.
He has been involved in several national and European research projects and is currently coordinating the H2020 project COG-LO (Call: H2020-MG-2017-Two-Stages, Mobility for Growth).
His research interests focus on novel protocols and architectures for the Internet of Things.
Dr Ioannis Konstantinou is a senior researcher at the Computing Systems Laboratory of the National Technical University of Athens (NTUA) and a Visiting Lecturer in the Department of Computer Science of the University of Thessaly where he regularly teaches Operating Systems, Advanced Databases and Programming courses. Dr Konstantinou received his Diploma in Electrical and Computer Engineering from NTUA in 2004, his M.Sc. in Techno-Economic Systems from NTUA in 2007 and his PhD from NTUA in 2011. His research interests lie in the field of large-scale distributed data management systems (Cloud Computing and big-data technologies). He has co-authored more than 40 papers in top-tier peer-reviewed conferences and journals in the Database (i.e., SIGMOD, ICDE, IEEE BigData) and Systems (i.e, ACM SoCC, CCGRID, IEEE TPDS, etc.) domains with more than 680 citations (h-index 13). He has received the best paper award in the prestigious IEEE/ACM International Conference on Cluster, Cloud and Grid Computing in 2013 and a best paper award nomination in CCGRID 2015 for his pioneering work on cloud elasticity. He has worked in the proposal preparation, the technical coordination (Technical coordinator, WP leader, etc.), the design and the development of numerous EU and GR funded research projects (E2Data, SELIS, CELAR, ARCOMEM, Modissense, CLARIN-El, StratusLab etc.).
In SELIS, Dr. Konstantinou (ICCS-CSLAB) is leading the ICT platform and Infrastructure Work Package along with the implementation of the Big Data Analytics component and its porting to different living labs.
Dr Fenareti Lampathaki is the Technical Director of Suite5 Data Intelligence Solutions Limited. She holds a PhD Degree and a Diploma - M.Eng. Degree in Electrical and Computer Engineering (Spec.: Computer Science) from the National Technical University of Athens (NTUA) and an M.Sc. Degree in Techno-Economics (M.B.A.). Prior to co-founding Suite5, she worked as an R&D Project Manager at the School of Electrical and Computer Engineering in NTUA and acted as an adjunct lecturer in the post-graduate programmes of NTUA and the University of Aegean. During the last 13 years, she has successfully led the team's research and management activities in a series of EU-funded R&D projects in multiple domains (e.g. Big Data, Factories of the Future, Cloud Computing, eGovernance) related to data interoperability, modelling and analytics (e.g. ICARUS H2020, EOSChub H2020, UPTIME H2020, UTILITEE H2020, MATILDA H2020, AEGIS H2020, UNICORN H2020, PSYMBIOSYS H2020, FITMAN FI-PPP, OPENi FP7) and managed 3 Coordination and Support Actions (as the overall project manager for FutureEnterprise FP7, ENSEMBLE FP7 and CROSSROAD FP7). Fenareti has also acquired significant experience in a large number of domestic R&D and commercial projects related to semantic interoperability and data analytics. Her research interests span over the data lifecycle focusing on big data analytics, data modelling, data sharing, and data linking while her research results have appeared in over 75 publications in international journals, edited books and conference proceedings while she has co-edited 1 book (on interoperability). Currently, Fenareti is the Technical Coordinator of the ICARUS H2020 Project (Aviation-driven Data Value Chain for Diversified Global and Local Operations).
David Scarlatti works as Data Solutions Architect at Boeing Research & Technology Europe in the Aerospace Operational Efficiency group. He received Aeronautics Engineering degree in 1994 (Universidad Politecnica de Madrid), is Stanford Certified Project Manager (2008), Master of Science in Technology Management (2010, Open University- UK), and GIAC Certified Incident Handler (2011). In 1989 started to work with computers at PHILIPS, then worked at INDRA (1993 to 2000) as Software Engineer, and at ORACLE as Technology Manager (2000-2005) where he led the European Professional Community on Data Warehousing. In May 2005 joined Boeing where has been applying data analytics technologies to a wide variety of aviation-related problems. Fields of expertise include big data, visualization, advanced computing in data analysis, cyber security and human-machine interfaces. Is co-inventor in 17 patents (5 granted).
Bachelor in Computer Engineering (Universidad Autónoma, Spain). He works in Indra since 2014, for the Transport business unit department. He has coordinated a development team focused on Ticketing Back Office Systems, including interoperable and multimodal Central Clearing House Systems, such as the Riyadh Public Transport Project, Tenerife, Plovdiv or T‐ mobilitat (Barcelona). Currently, he is the technical responsible for CONNECTIVE and other Shift2Rail‐IP4 projects.
Dr Andreas Metzger is a senior academic councillor and head of adaptive systems and big data applications at Paluno, the Ruhr Institute for Software Technology of the University of Duisburg-Essen (Germany). In addition, he is deputy secretary general of BDVA (the European Big Data Value Association) and steering committee vice chair of NESSI (the European Technology Platform dedicated to Software, Services and Data). He is the technical coordinator of the Big Data Value PPP lighthouse project TransformingTransport and chief architect of the EU research and innovation action RestAssured, focussing on secure data processing in the cloud. His background and current interests are software engineering for data-intensive and adaptive systems. He has co-authored around 100 papers, articles and book chapters. He acted as program committee member for numerous international conferences and workshops and co-organized over 15 international workshops and conference tracks.
Mrs Vivian Kiousi
Mrs Vivian Kiousi (f) has joined INTRASOFT International S.A. in May 2001 and acts as a Senior Business Development Manager and Head of the Transport Lab of the Research & Innovation Development Department of the company. For nigh teen years in research, Mrs Kiousi has gained experience in the field of Big Data, AI Human-Computer Interaction, Transport technologies, e-Government, Internet-based Technologies, Community Portals, Promotion and Dissemination Strategies. Mrs Kiousi was and is currently involved in relevant European and R&D Projects such as H2020 Big Data TransformingTransport lighthouse project, OPTIMUM H2020, H2020 CoGLO, H2020 MaaS4EU in various positions including Project Coordination, Project Management, Dissemination and Communications management. Mrs Kiousi is a PhD candidate on behavioural and economic frameworks for multimodal and mobility as a service (MaaS) transportation schemes. She holds two masters (MSc), in AI & Cognitive Science and Telecommunications Computing and Human-Centred Systems awarded by the School of Computing and the Electronic and Electrical School of Engineering respectively at the University of Birmingham. She was awarded in 2000 with a TI Engineering Postgraduate Scholarship. In addition, Mrs Kiousi holds a double major BSc Degree in Psychology and History of Art) and she is a Physics degree minor. She has been trained in several management, communication methodologies and social media strategies and she is CMMI-DEV 1.3 ML3 Appraisal Team Member and ATM. Personal interests are research topics on energy efficiency, urban mobility and energy efficiency, logistics, gender equality and mobility.