LEVERAGING BIG DATA TO MANAGE
TRANSPORT OPERATIONS
The LeMO project investigates the implications of the utilisation of big data
to enhance the sustainability and competitiveness of European
transportation. The project analyses big data in the European transport
domain with respect to five transport dimensions: mode, sector,
technology, policy and evaluation. LeMO accomplishes this by conducting
a series of case studies, to provide recommendations on the prerequisites
of effective big data implementation in transportation.
Consortium Partners
The LeMO project has received funding from the European Union
Horizon 2020 research and innovation programme under grant
agreement no. 770038.
LeMO identifies methodological
and technological issues to
allow for effective data mining
and data exploitation
____
LeMO analyses the barriers and
limitations of the transportation
system to exploit big data
opportunities
____
LeMO designs a research and
policy recommendations for big
data in transportation
LeMO recommendations and
roadmap 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.
Find out more
lemo-h2020.eu
@LeMO_H2020
H2020_LEMO

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LeMO project

  • 1. LEVERAGING BIG DATA TO MANAGE TRANSPORT OPERATIONS The LeMO project investigates the implications of the utilisation of big data to enhance the sustainability and competitiveness of European transportation. The project analyses big data in the European transport domain with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO accomplishes this by conducting a series of case studies, to provide recommendations on the prerequisites of effective big data implementation in transportation. Consortium Partners The LeMO project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement no. 770038. LeMO identifies methodological and technological issues to allow for effective data mining and data exploitation ____ LeMO analyses the barriers and limitations of the transportation system to exploit big data opportunities ____ LeMO designs a research and policy recommendations for big data in transportation LeMO recommendations and roadmap 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. Find out more lemo-h2020.eu @LeMO_H2020 H2020_LEMO