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General information
Type: Field operational test
Tested system/service: Energy Efficiency
Countries: Italy, Portugal, Spain, Greece, Croatia, UK ? test users
? partners ? vehicles
Active from 2012/11/01 to 2015/04/15
Elena Cordiviola
Intecs SpA
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Intelligent Cooperative Sensing for Improved traffic efficiency.

Cooperative Intelligent Transport Systems is the future direction of mobility. Transportation assets will be increasingly integrated and will communicate through a wireless communications system. Travellers and goods carriers will have full knowledge of system performance and will be able to plan their journeys accordingly.

The architecture of the ICT infrastructure for supporting Intelligent Transportation Systems (ITS) is purely hierarchical, with sensed data flowing from the leaves (i.e., road-side or vehicle-installed sensors) to the root (i.e., the traffic management centre). The current approach does not scale adequately with the inclusion of a significant number of new elements, is not flexible in supporting an incremental growth or changes of the ITS, and exhibits latency and security issues.

To overcome the limitations of the current systems, we propose a new architecture where the intelligence for sensing and actuation is distributed over some of the elements, called gateways, which host a software platform for running ITS applications, using the local storage and computation capabilities available. The proposed system aims at achieving significant energy efficiency in transportation systems through faster, dependable, and more accurate sensing cycles and reactions, as enabled by the fully distributed architecture. We envisage that most noticeable reductions in the emissions of CO2 will be experienced in urban transportation systems.

ICSI is an FP7 STREP project co-funded by the European Commission under the ICT theme (Call 8) of DG CONNECT.

Details of Field Operational Test

Start date and duration of FOT execution

Geographical Coverage

Link with other related Field Operational Tests


The goal of the project is to define a new architecture to enable cooperative sensing in intelligent transportation systems and to develop a reference end-to-end implementation. The project results will enable advanced traffic and travel management strategies, based on reliable and real-time input data. The effectiveness of such new strategies, together with the proposed system, will be assessed in two field trials.


Lessons learned

Main events


Summary, type of funding and budget

Cost: 4,538,143 €

Funding: 2,919,000 €

Cooperation partners and contact persons

  • Public Authorities:
  • Industry
    • Vehicle Manufacturer:
    • Supplier:
  • Users:
  • Universities:
  • Research Institutes:
  • Others (specify):

Applications and equipment

Applications tested


Equipment carried by test users


Test equipment


Pre-simulation / Piloting of the FOT

Method for the baseline

Techniques for measurement and data collection

Recruitment goals and methods

Methods for the liaison with the drivers during the FOT execution

Methods for data analysis, evaluation, synthesis and conclusions

Sources of information