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Data Fusion for Mobility Consumers, Providers, and Planners

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Complete with results
Geo-spatial type
Project Acronym
STRIA Roadmaps
Network and traffic management systems (NTM)
Smart mobility and services (SMO)
Transport policies
Deployment planning/Financing/Market roll-out


Background & Policy context

This project focused on the development of a knowledge infrastructure, computational models, and user applications that allowed access to real-time information about the state of transportation-related resources as well as predictions regarding their future state. A pilot service that exemplified the usage potential of available data will be provided to citizens for making public transportation more efficient and pleasant to use and to policy-makers as a decision-support tool.


The project was organized around the following specific objectives:

  • Acquiring and parsing data that described the state of transportation-related resources (e.g. bus and train locations, cell phone traces, road sensors, GPS tracking, weather, emergency events, and census data);
  • Developing a data fusion engine that combined the data to extract from them additional information including predictions;
  • Developing a model-based data fusion engine (with simulation capabilities) that modelled a particular transportation network along with the behaviour of travellers within it;
  • Developing a web-based service that enables different applications to access the data collected;
  • Developing an interactive multi-modal, multi-criteria route-planning application that would exemplify the capabilities of the data fusion engine and provide support to the travelling decisions of the public;
  • Developing a geographical modelling and visualization module of city dynamics for use by planners and service providers.


Parent Programmes
Institution Type
Public institution
Institution Name
Fundação para a Ciência e a Tecnologia (FCT)
Type of funding
Public (national/regional/local)


CityMotion was the first Portuguese project that combined a mixture of data from several (often competing) sources. For the first time in Portugal, the project was advancing “reality mining” from heterogeneous (and differently owned) data sources.

CityMotion has spawned a second phase proposal for a large national project in the mobility area (TICE.mobilidade, QREN funding program) involving a large number of private companies and the universities of Coimbra, Porto and Minho.

Prototype of the Portugal Brisa A5 motorway online laboratory is being developed. 

Initial testing of various online-calibration algorithms within DynaMIT were carried out and preliminary results on the quality of traffic estimation and prediction, as well as computational performance were obtained and analysed. Furthermore, a parallel calibration strategy, which leads to dramatic reductions in algorithm running time, was designed and implemented.


  • Innovative visualizations of mobility patterns for Lisbon;
  • Development of density matrixes, O-D matrixes and clustering results involving different mobility modalities. Study of relations between mobility and the urban space;
  • Adaptation of DynaMIT to Brisa’s A5 motorway, to develop a “short-term” traffic prediction tool.


Lead Organisation
EU Contribution
Partner Organisations
EU Contribution


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