The C-Roads project is a European Union-led initiative, in which Emesa is working together with Madrid Calle 30. It aims to deploy intelligent transport systems (ITS) in the participating countries. It emphasises the need to guarantee the implementation of future transport models in Europe.
Spain’s participation will provide us with the capacity to collaborate in harmonising future European Union measures. In this regard, Spain is delivering five projects that will be implemented across the country.
C – Roads Spain pilot project
Spain has given its full support to the implementation of the C-Roads project by creating five pilot projects, as well as common indicators with specific goals.
DGT 3.0 pilot
This project is based on sharing real-time anonymous data between all participating actors in road use.
Using a platform, drivers and road users will generate data. This data will be uploaded to improve traffic safety and give real-time information on any events that may affect safety.
The end goal of the project, known as Vision Zero , is the elimination of all fatalities on the roads.
The Directorate General of Traffic (DGT) has created a free application called Comobity to assist in the implementation of the project. The application allows users to ascertain the distance between each other and avoid collisions. This will enhance safety on the roads.
Extended SISCOGA pilot
This project is limited to the Vigo metropolitan area and will use ITS G5 technology. It aims to improve road safety and facilitate traffic flow through the combined use of other technologies including LTE and LTE/V.
Specifically, the aim of this test project is to detect in real time slow or stationary vehicles, road works, and set weather conditions, as well as many other situations.
Four autonomous vehicles have been brought in to assist with the pilot which will travel on sections of the motorway between the A55 in Spain and the A27 in Portugal. A total area of 150 km will be covered.
Madrid Pilot
Madrid Calle 30 will coordinate, in conjunction with Emesa, this project which will be located on an approximately 32 km long stretch of the M30.
As in the previous project, transport information system technology will be used. By placing sensors and antennae real time information on traffic conditions will be available : stationary vehicles, traffic warnings, and accident warnings whilst we are travelling on the road. This will deliver a high-quality service and improve road and road user safety.
The pilot project in Madrid will mobilise a fleet of 120 vehicles, including one autonomous vehicle to evaluate the functionality of cooperative transport systems.
Cantabrian pilot
This fourth project will carry out tests related to the risk of crashes on mountainous roads . This part of Spain has been chosen for that reason.
Specifically, the test will be conducted on 75 km of roads in the regions of Galicia, Asturias, and the Basque Country, which are all connected by the A8 at various points.
145 vehicles have been assigned to this project, which will perform tests over a distance of 36 km.
Another goal of this project is to evaluate the utility of the Smart Routing application, which aims to provide information on alternative routes in the event of accidents.
Mediterranean pilot
This is the largest test to be carried out in Spain. It will extend from Catalonia to Andalucía on stretches of the AP7 motorway and the National 340.
As in the previously mentioned projects, two subcategories, named Day 1 and Day 1.5, are included. These have separate goals with a view to future projects:
- Specifically, this test will collect information from fuelling and charging stations used by electric or alternative fuel vehicles.
- Another aim is to identify, via the Smart Slip Road service, accidents which may have been caused by the road surface being slippery as a result of weather conditions.
The goal of the C-Roads project is to place new technologies featuring ITS, v2v (vehicle to vehicle) and v2i (vehicle to infrastructure) in charge of making our driving experience safer and more reliable by, as far as possible, removing human error.
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