Modelling Emerging Transport Solutions for Urban Mobility

Disruptive technologies and emerging mobility solutions such as MaaS (Mobility as a Service), CAVs (Connected Automated Vehicles), new shared mobility services and demand responsive transport, are bringing radical changes to urban mobility.

The goal of MOMENTUM is to develop a set of new data analysis methods, transport models and planning support tools to capture the impact of these new transport options on the urban mobility ecosystem, in order to support cities in the task of designing the right policy mix to exploit the full potential of these emerging mobility solutions.

The project started in May 2019 and will run for three years.

The project calls for the integration of a broad range of complementary skills:

  • Transport planning
  • Big data processing, machine learning and spatio-temporal data analysis
  • Transport modelling
  • Collaborative policy development

The tools developed will be tested in a set of case studies with heterogeneous characteristics in terms of size, morphology, environmental, socioeconomic and cultural factors, mobility issues and policy goals.

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Contact information

Georgia Ayfantopoulou
  • Hellenic Institute of Transport
  • Deputy Director - Research Director
  • gea@certh.gr
Josep Maria Salanova Grau
  • Hellenic Institute of Transport
  • Head of Data analysis and Modeling Laboratoryr
  • jose@certh.gr
Javier Burrieza
  • Nommon Technical Solutions
  • Technical Coordinator of the project MOMENTUM
  • javier.burrieza@nommon.es
Oliva Garcia Cantu Ros
  • Nommon Technical Solutions
  • Chief Research & Development Officer
  • oliva.garcia-cantu@nommon.es
Irene Blazquez Jimenez
  • EMT Madrid
  • Coordinator of the project MOMENTUM
  • irene.blazquez@emtmadrid.es
Sergio Fernández Balaguer
  • EMT Madrid
  • Responsible of the International Collaboration Projects Department
  • sergio.fernandez@emtmadrid.es
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 815069.