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BDE SC4 Hangout - Simon Scerri, Introduction
1. BEHIND THE SCENES OF THE
BDE TRANSPORT PILOT
SC4: TRANSPORT HANGOUT
Integrating Big Data, Software & Communities for Addressing
Europe’s Societal Challenges27.06.2016
2. Big Data Europe (CSA: 2015-17)
Show societal value of Big Data: 7 Domains
Lower barrier for using big data technologies
o Required effort and resources
o Limited data science skills
Help establishing cross-
lingual/organizational/domain Data Value
Chains 28-juin-16
6. Pilots: Overview
SC1: Health & Pharm.
SC2: Food & Agr.
SC3: Energy
SC4: Transport
28-juin-16www.big-data-europe.eu
SC5: Climate
SC6: Social
Sciences
SC7: Security
7. SC4: Transport
28-juin-16www.big-data-europe.eu
The Fraunhofer Society is a
German research organization with
67 institutes spread throughout
Germany, each focusing on
different fields of applied science.
The Centre for Research and
Technology-Hellas (CERTH)
founded in 2000 is one of the
leading research
centres in Greece. CERTH
includes the Hellenic Institute of
Transport (HIT): Land, Sea and Air
Transportation as well
as Sustainable Mobility services
ERTICO - ITS Europe is a
partnership of around 100 companies
and institutions involved in the
production of Intelligent Transport
Systems (ITS).
IAIS
8. SC4 Pilot Focus Area
28-juin-16www.big-data-europe.eu
Info mobility
based on Mobility
Pattern Identification
9. SC4 Pilot Objectives
28-juin-16www.big-data-europe.eu
Pilot 4: Multisource data
collection for the provision of
accurate info-mobility and
advanced transport planning
service in Thessaloniki,
Greece
Congestion is a major problem in
Europe, especially in urban areas.
utilizing real-time probe data for the
provision of accurate info-mobility
services and advanced transport
planning, leads to better decisions
The use of mobility data coming from
multiple sources presents significant
challenges, especially due to the different
nature of the datasets both in content and
spatio-temporal terms as well as due to the
fact that the data should be collected and
processed in real time.
Reasons:
Project obecjtives:
Addressing each of the Societal Challenge domains (7), we have a domain representative for each & a pilot instantiation of the BDE platform for each in progress
One of the challenges to Big Data opportunities is the lack of skills (data science) – our aim is to provide out of the box technology with not a lot of training required to use and apply
BDE technology can be applied in multiple domains and in different phases within Data Value Chains, working with different data providers and addressing multiple objectives (as opposed to current solutions, which tend to be very specific to one data source or domain, and address one objective.
9/16 partners: Sole or joint domain representatives of 7 SC domains (COORDINATION ROLE)
Other 7/16 partners: technical support (SUPPORT ROLE)
Fraunhofer coordinates the project
Centered around the 7 SC communitiess, we follow a number of iterations each having five steps:
1) Engaging with stakeholders for 2) collecting feedback and translating to requirements and identify 3) domain-specific data assets. Prototypes are deployed as 7 Pilots use-cases (4) and evaluated with the community (5) – currently we are in the first iteration at step 4 (Pilot conceptualisation and deployment).