Policy issues, opportunities and barriers in big data-driven transport (Workshop 2.3)

ORGANISED BY

• Mrs Akrivi Vivian Kiousi- the Subgroup leader of Mobility and Logistics Subgroup (BDVA) & Head of Transport Lab for Research at INTRASOFT International

RESPONSIBLE CO-ORGANISERS FOR THE SESSION 

• Prof. Dr Rajendra Akerkar, Western Norway Research Institute – EU Project LeMO Coordinator.
• Rodrigo Castiñeira, R&D Program Manager at Indra’s Transport Business Unit and Big Data and Big Data Lighthouse EU Project TransformingTransport Coordinator.

SESSION DESCRIPTION

For several decades, transportation has played a key role in the context of sustainability and efficiency of metropolitan’s transportation systems. However, the concerns and issues of the transportation systems have been changed as society and/or technologies do. To facilitate the discussion of active transportation policy and legislation issues expressed but also to invite willing contributors on common policy topics identified, the specific session is suggested to invite interested parties that can showcase. Considering the objectives of the LeMO and TransformingTransport project, the interaction with industry experts is fundamental to challenge and validate the findings.

Accordingly, in addition to presenting the key topics in relation to big data policies and issues raised in recent relevant literature, the various slots will rely in examining those and other questions by surveying their relevance in polls during and after the various presentations.

A last slot will aim to reach out to the audience for a debate during which open questions from to audience will be addressed to clarify certain aspects of the presentation.

AGENDA & OBJECTIVES

An introduction to big data in a specific sector (i.e. the transport sector) and a holistic view of opportunities, challenges, and limitations.

Introduction of TransformingTransport project and big data challenges in the transport sector.

• Vivian Kiousi (INTRASOFT, TT)

Introduction of the LeMO project and big data in the transport sector.

• Adrián Irala (INDRA TT)

An analysis of the economic and political issues that are relevant to big data in transport.

• Rajendra Akerkar (LeMO Coordinator)

A review of policies supporting or restricting the (re‐) use, linking of and sharing of data in the transport sector.

• Tharsis Teoh (Panteia) – LeMO

An analysis of the legal issues relevant to big data in transport.

• Tharsis Teoh (Panteia) – LeMO
• Jasmien César (Bird & Bird) – LeMO

An overview of the technological issues relevant to big data, with a particular focus on the transport sector to act as contributions to a common roadmap (relying on case studies).

• Jasmien César (Bird & Bird) – LeMO

Examples / Policy contribution topics highlighted by TransformingTransport Lighthouse project.

Maurilio Zuccalà (CEFRIEL)

INVITED PROJECTS

• Track and Know (Big Data for Mobility Tracking)
• Dr Ibad Kureshi (INLECOM)
• BigData Ocean (Maritime)
• Dr Michele Osella (ISMB)
• ICARUS (Aviation)
• Dr Fenareti Lampathaki (SUITE5)
• AEGIS (Public Safety and Personal Security)
• Mr Alexander Stocker (Virtual Vehicle)
• QROWD (Innovative Solutions to improve mobility and reduce traffic congestion)
• Dr Luis-Daniel Ibáñez (SOTON)
• CERTH (Results of Smart Mobility Living Lab providing cooperative services to passengers and freight respectively).
• Josep Maria Salanova (CERTH)

OPEN DEBATE

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 to (EU) policymakers in relation to big data, with a focus on the transport sector driving a roadmap creation activity to be fed by big data specialists and to validate, clarify, complement and/or challenge the identified opportunities, barriers and limitation to exploit big data.

EXPECTED OUTCOMES

There is already a concrete plan on how to attract high quality talks in the policy field. First, the co-organizers participate in large EU funded research and development projects, e.g. H2020 LeMO, H2020 TransformingTransport (TT), other PPP highlighted projects which is directly related to big data in the transport industry.

Complementing this, the session is organised BDVA Subgroup on “Mobility and Logistics” (as part of TF7) will invite representatives from key running projects and attempt to ensure cooperation and collaboration for a common activity.

Finally, we will solicit participation from associations and highlighted research organisations. As such, there is already a list of potential participants in mind. In the light of the above, it is sure that the session will succeed in attracting a high number of high quality talks and achieve high attendance (>50 persons).