Project meetings

4th LeMO Project Meeting held in The Netherlands on 26-27 November 2018

The forth LeMO project meeting was held in Zoetermeer (The Netherlands) on the 26th and 27th of November 2019. All partners gathered to discuss the advancement of the project and the tasks ahead.

The day started with a welcome note by the host (Panteia) and a presentation of the project progress so far by the coordinator (WNRI) and continued with a presentation of the main WP2 achievements by respective Task leaders.

The coordinator of the NOESIS project (Ortelio) also attended the meeting and presented the NOESIS project and its ongoing work on Big Data in Transport Library. Opportunities for collaboration between the two projects were further discussed.

After the end of a very fruitful discussion on dissemination activities LeMO consortium discussed the results of the first year dissemination and the plan for next steps. First LeMO webinar planned for February 2019. The partners discussed the tentative agenda for the webinar and agreed on inviting NOESIS and two Case Study providers for short presentation in the webinar.

The second day of the meeting focused on a discussion on case studies in WP3. All partners discussed the progress of the running work package (WP3) and presented their plan for the case studies and related interviews that are about to begin in January 2019.

A member of the LeMO team attended the NOESIS project meeting

On 13 November 2018, a member of the LeMO project team, Maruša BENKIC, attended a project meeting of its sister-project, on Big Data under the Horizon 2020 programme, NOESIS. The meeting was held at the premises of the JRC in Seville.

 NOESIS meeting (Photo credit: NOESIS project)

NOESIS meeting (Photo credit: NOESIS project)

NOESIS (Novel Decision Support tool for Evaluating Strategic Big Data investments in Transport and Intelligent Mobility Services) aims at improving understanding about the impact of big data, with the final goal to develop a Decision Support tool which will be able to assess the potential of big data investments in transport. The project has been developing the Big Data in Transport Library (BDTL), the first collection of Big Data use cases in Transport.

The meeting started with a presentation of the NOESIS project by the coordinator (Ortelio) and continued with the overview of the main achievements so far. The NOESIS consortium was informed about the progress of LeMO and the deliverables produced so far. During the very successful and fruitful meeting, the teams discussed possibilities for synergies between the two projects and identified concrete opportunities to share the research outcomes and combine their efforts in effectively disseminating the project results.

LeMO members have attended our sister project NOESIS meeting

As a first action of cooperation between our projects, LeMO coordinator, Rajendra Akerkar, and team member, Zuzana Nordeng, attended NOESIS project meeting that took place in Stockholm on the 22nd and 23rd of March. The meeting gave us a chance to closely look at what we are doing and thus we discussed potential synergies in more detail.

In order to build the foundations for the development of a database of use cases for Big Data applications and services in the field of transport and logistics, NOESIS is researching how Big Data is used to tackle various transport challenges and exploring how transport datasets are collected and handled.

Successfully completed two-days project board workshop in Frankfurt

We have successfully completed the first two-days LeMO project board workshop on “Setting the Stage on Big Data in Transportation” at Frankfurt Big Data Lab from 22-23 January 2018.

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 Big Data to enhance the economic sustainability and competitiveness of European transport sector.  The project studies and analyses Big Data in the European transport domain in particular with respect to five transport dimensions: mode, sector, technology, policy and evaluation. LeMO will accomplish this by conducting a series of case studies, in order to provide recommendations on the prerequisites of effective big data implementation in the transport field.

LeMo.JPG