LeMO project overview, presented at the 4th project meeting of NOESIS on 13 November at the JRC Seville.

1. Leveraging Big Data to Manage Transport Operations
LeMO Project Overview
4th NOESIS project meeting
13 November 2018
JRC Sevilla

2. LeMO project
Leveraging Big Data to Manage Transport Operations (LeMO) project (Grant
agreement no: 770038).
• H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated
Transport
Define research efforts and policy measures necessary for responsible
participation in the big data economy
• Consider concrete opportunities, barriers and limitations of the transportation systems to
exploit big data opportunities
• Generate a vision for Big Data in Transport for 2020
• Design a research and policy roadmap

3. Project details
• Nov 2017 – Oct 2020; 36 months
• €1.49 million
• 5 Partners
• 5 Countries

4. LeMO objectives
• To produce a research and policy roadmap towards data openness,
collection, exploitation and data sharing to support European
transport stakeholders in capturing and addressing issues, that range
from technical to institutional, including legitimacy, data privacy and
security.
• To involve European transport sector actors in order to identify and
analyse concrete opportunities, barriers and limitations of the
transportation systems to exploit big data opportunities.
• To disseminate the LeMO findings, recommendations and the
contribution of the LeMO to evidence–based decision making.

5. Overview

6. Transport themes
The LeMO project will
study and analyse big data
in the transport domain
with respect to these five
transport dimensions.
Source: Transport Research & Innovation Portal

7. Big data
LeMO project is uniquely positioned
to help stakeholders capitalize on
the power of big data to:
• Significantly improve the customer
experience
• Enhance services to increase revenue
and manage capacity
• Maximize the availability of assets
and infrastructure
• Improve operational efficiency
5 Vs

8. Route for policy & research recommendations
WP1:
Context
setting
WP2:
Literature
review
WP3:
Case studies
WP4:
Trend analysis
&road-mapping
WP5:
Shared value

9. Case studies
Rail transport data:
Siemens
Real-time traffic
management:
City of Tallinn
Smart inland
shipping:
EvDis Innovative
Solutions
Logistics & consumer
preferences:
Kepler51 Analytics
Optimized transport
& improved
customer service:
nextmoov
Big data & intelligent
transport systems:
Deutsche Bahn
Open data & transport:
European Data Portal &
Norwegian Public Road
Administration

10. Milestones
MS No. MS Name WP Leader Delivery
1 A detailed understanding of the political and technological
backdrop to big data in transport sector
1 GUF M8
2 A detailed understanding of the various institutional, legal and
governmental issues relevant to big data in transport sector
2 B&B M12
3 Completion of big data case studies 3 Panteia M20
4 Completion of horizontal analysis 4 WNRI M28
5 Research and policy roadmap 4 WNRI M36
6 Consensus on the LeMO roadmap and recommendations 4 WNRI M35
7 Launch the project website 5 CORTE M1
8 Simultaneous and sustainable value creation for shareholders and
the society
5 CORTE M36
9 Successful plan of the project 1 WNRI M1
10 Completion of the project’s interim review 6 WNRI M18
11 Completion of the project’s final review 6 WNRI M36

11. LeMO so far
Published deliverables:
• D1.1 Understanding and mapping big data in transport sector
• D1.2 Big data policies
• D1.3 Big data methodologies, tools and infrastructures
• D2.1 Report on economic and political issues
• D2.2 Report on legal issues
• D2.3 Report on ethical and social issues
• D2.4 Report on trade-off from the use of big data in transport
• D3.1 Case study methodology
• D5.3 Creating Shared Value for the European Transport Sector (v1)
• D5.5 Strategy for communication plan beyond project lifetime

12. Next steps (until June 2019)
• Task 3.2: Case studies on big data in transport
• Task 3.3: Consolidated case study findings
• Deliverable 3.2: Case Study Reports
• Webinar (February 2019)

13. Possibilities of common activities
• Joint workshop about big data in transport
• Combining results of both projects
• Finding common possibilities for future projects
• Ideally to carry out in 2019
• Writing an academic paper / publication combining research results
of both projects
• Presenting the paper / common results at relevant venue / transport
conference organized by European Commission combined with
networking activities.

14. Thank you!
https://lemo-h2020.eu/
@LeMO_H2020
Project coordinator: Rajendra Akerkar rak@vestforsk.no