The LeMO project examines the implications of utilizing big data in the European transport sector through a series of case studies across different transport modes and dimensions. It aims to identify methodological and technological issues to allow effective data analytics and exploitation in transport. The project will provide recommendations to help policymakers and industry stakeholders address barriers and leverage opportunities of big data to improve operations, customer experience, and revenue. Key outputs include reviews of big data policies and technologies, case studies analyzing areas like open data and real-time traffic, and tools for transport data analytics.

1. The project performs
seven case studies
in transport related
areas
Railway transport data
Open data and
transport
Real-time traffic
management
Logistics and consumer
preferences
Smart inland shipping
Optimised transport
and improved customer
service
Big data and intelligent
transport systems
The LeMO project responds decisively to
the challenge of investigating the
implications of the utilisation of big data
in the transport field and delivers in-
depth case studies, targeted horizontal
analysis, and aggressive dissemination.
Specifically, it will deliver:
Comprehensive reviews of the big
data context, including policies,
initiatives and key enabling
technologies, as well as economic,
legal, social, ethical, environmental
and political perspectives, to
provide a clear-cut analysis of the
current, seemingly woolly and
diversified conceptions of big data
in the transport sector
Comprehensive case studies
incorporating a variety of transport
modes across Europe, focused upon
– but not limited to – the green
aspects, crowd dynamics, real-time
transportation and open data so as
to provide empirical material for the
development of research and policy
roadmap to assist a wide range of
stakeholders in addressing potential
barriers of big data as well as
harnessing the associated
opportunities
An extensive exploration on
identification of methodological
issues and the necessary tools in
order to allow for effective transport
related data analytics
Leveraging Big
Data to Manage
Transport
Operations
The project has received funding from the
Horizon 2020 Programme of the European
Commission under grant agreement no. 770038

2. The project
Transport researchers and policy makers today face
several challenges as they work to build efficient,
safe and sustainable transportation systems. From
rising congestion to growing demand for public
transit, the travel behaviour and transportation
preferences of city dwellers are changing fast.
Leveraging Big Data to Manage Transport Operations
(LeMO) project addresses these issues by
investigating the implications of the utilisation of
such big data to enhance the economic sustainability
and competitiveness of European transport sector.
The project examines and analyses big data in the
European transport domain in particular with
respect to five transport dimensions: mode, sector,
technology, policy and evaluation. LeMO
accomplishes this by conducting a series of case
studies.
LeMO will supplement these case studies with a
trend analysis to identify how opportunities, barriers
and limitations are connected to Big Data practice
and to each other.
“Data is the fabric of the
modern world: just like we
walk down pavements, so we
trace routes through data, and
build knowledge and products
out of it.”
- Ben Goldacre
LeMO recommendations can help policy and
decision makers to take informed decisions.
Contribution to evidence–based decision making
by improving knowledge on methodological and
exploitation issues taking also into account
economic and technical considerations
Support to transport industry in capturing
benefits (efficiencies, new business models, etc.)
and addressing limitations before beginning a
project, initiative or programme
Contribution to an early identification of critical
issues linked to privacy, data security, legal and
institutional aspects
Key outputs
Identifies methodological and technological issues
to allow for effective data mining and data
exploitation
Analyses the barriers and limitations of the
transport system to exploit big data opportunities
Designs research and policy recommendations
Why LeMO?
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
Partners
Contact Us
Prof. Dr. Rajendra Akerkar
LeMO Project Coordinator
Western Norway Research Institute
Sogndal, Norway
E-mail: rak@vestforsk.no
Phone: +47 91685607
@LeMO_H2020
Project website: lemo-h2020.eu
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LeMO consortium. The European Commission is not responsible for any
use that may be made of it.