Daniel Marin is
technical project manager at Telefonica O2. He is leading the
project EDMOND (Estimating Demand from Mobile Network Data). Daniel
is an expert in pedestrian and transport modelling. At Telefonica he
helps developing the capabilities of mobile data and data fusion
process for transport modelling. Previous to joining Telefonica O2,
Daniel has worked with crowd modelling in the London-based company
Movement Strategies. He has developed a simulation tool for
pedestrian evacuation. Before joining Movement Strategies Daniel has
worked for eight years in Paris developing simulation tools for
public transportation. His background is applied mathematics,
modelling and simulation.
TITLE OF TALK: EDMOND Project: Estimating Demand from
Mobile Network Data
ABSTRACT: TfL and Telefonica O2 are investigating
the use of mobile network data to estimate origin destination
matrices of people traveling in or through London, split by mode
(road, us, tube, overground, walk, cycle, taxi. HGV and LGV).
Machine learning techniques and fusion with external datasets will
be used to infer modes from the analysis of the mobile network data.
Telefonica, Jacobs and AECOM are partners in the project.