Revision as of 11:59, 21 April 2015 by Henri.Sintonen (talk | contribs) (Cleaning up source)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search
Spits logo rounded.png
General information
Type: R&D
Tested system/service: Cooperative Systems
Countries: The Netherlands ? test users
13 partners ? vehicles
Active from 07/2009 to 07/2011
Dr. ir. Geert Heijenk
University of Twente
The Netherlands
Catalogue entries
Data catalogue Tools catalogue
Data sets used in this FOT:

No data set is
linked to this FOT

Click here to create a new
data set or here to browse
existing data sets to link
them to this FOT

The following tools
were used in this FOT:

No tool is linked
to this FOT

Click here to create a
new tool or here to
existing tools
to link them to this FOT

SPITS is a Dutch project, tasked with creating Intelligent Traffic Systems (ITS) concepts that can improve mobility and safety.

The SPITS project focuses on three main areas;

  1. Traffic management continues to be a relevant topic for all of our lives. Our roads are becoming more congested and there is an increasing need to find solutions to keep our roads moving, beyond continued spending in road expansions. Intelligent Traffic Systems have the potential to utilise the existing road network more effectively as well as increase its total throughput. Better information can also improve safety on the roads, for instance when approaching sharp corners or alerting to other road users on imminent danger ahead. The SPITS project is defining an open and scalable platform for future systems and exploring new techniques in cooperative driving and mobility, to contribute to a more efficient and sustainable mobility solution.
  2. In-vehicle solutions will ensure a connected link between the vehicle and the outside world. As the in-car telematics market moves forward, we see these traffic management devices being a logical extension to the in-car infotainment system. In the SPITS project, we examine an open and upgradeable in-vehicle platform on which these systems could be deployed, to ensure the latest products can always be deployed over the lifetime of the vehicle. The pace of modern innovation means that several technology generations are released during the normal lifetime of a vehicle, so an upgradeable approach is essential to keeping in-vehicle traffic systems relevant.
  3. Service download and management solution. Traffic management systems and up-to-date traffic information is become more available. SPITS is exploring concepts to create a service download and management solution for in-vehicle services that will cover consumer, fleet and traffic applications. In addition to hardware upgradeability, the services that are run on these systems will also evolve, as will the information they use. Adopting a simplified and open approach to services ensures that innovation and speed can be increased, allowing exciting new services to be developed for the future of traffic management and driver safety.

SPITS is funded by the 13 partners and the Dutch Ministry of Economic Affairs.

Details of Field Operational Test

Start date and duration of FOT execution

Geographical Coverage

Link with other related Field Operational Tests


The SPITS project’s objective is to realise an open, scalable, real-time, distributed, secure, sustainable and affordable platform for cooperative ITS applications, evolving from existing infotainment systems.


Lessons learned

Main events


Summary, type of funding and budget

Project budget: 62.8 M-€ / 23.9 M-€ funding

Number of person/years: 415 fte

Project budget CTIT: 483 k-€ / 241 k-€ funding

Number of person/years CTIT: 3.2 fte

Cooperation partners and contact persons

13 partners: NXP, Catena, TomTom, GreenCat, Logica, Nspyre, Fourtress, TU Eindhoven, TU Delft, University of Twente, University of Leiden, TNO, Peek Traffic

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