Telematics Applications for Transport
IN-ARTE TR 4014
Integration of Navigation and Anti-collision for Rural Traffic Environment
The main objective of the project is to implement new multi-functional driver assistance systems which integrate existing functions such as navigation and anticollision with the support of digital road map databases.
Setting the Scene
As a result of innovations in technology, an increasing number of driver support systems are being introduced onto road vehicles. They include Navigation Systems, Adaptive Cruise Control, and Collision Warning.
These new systems offer a significant opportunity to increase traffic safety on extra-urban and highway roads. On the negative side, there is a risk of overloading the driver with complex or superfluous information.
The goal of the IN-ARTE Project is to use this opportunity to increase driver safety by means of more information.
To take the most benefit from the opportunities offered, the IN-ARTE project has defined a general functionality and architecture for integrating the systems, and has developed and tested a driver support system that combines digital road maps with navigation, anti-collision systems, and road recognition capabilities.
Information from different sources is combined in one common view of the environment. Based on that extended view, the integrated system decides if the driving behaviour needs correction. Corresponding messages are presented to the driver through an optimised Human Machine Interface (HMI), and can also be sent to automatic vehicle control.
The digital road maps gives the system advance information about the road, before the driver is in a position to see it himself. For that purpose, more sophisticated digital road maps have been developed that are both more accurate than existing maps and include additional detail such as number of lanes, traffic signs, speed limits.
Results and Achievements
User needs were defined and assessed at an early phase of the project, using a multimedia, multilingual, interactive questionnaire.
Using the definitions, including the extra features and higher levels of accuracy that had been asked for, system function has been derived, followed by its architecture and interfaces.
Two test tracks were selected, in the Paris and Torino areas, where the system with its improved map database underwent testing. There were differences between the two tests, but they followed a common test plan. The first driving simulators, and then the HMI concepts, strategies, and criteria were transferred onto real vehicles. Two demonstrator vehicles were equipped with the subsystems, and they have been tested in real-life traffic situations.
At the first level of evaluation, technical features of the system have been compared to pre-defined performance criteria. It was shown that the system responds as requested, and gives assistance to the driver in negotiating curves and in other different traffic situations.
Conclusions and Future Plans
Following the implementation and technical demonstration phases, evaluation of the system is proceeding of driver acceptance and perceived usefulness in real-life situations.
This phase will give results on the overall benefit that can be achieved from the system.
Andrea Saroldi - CRF
Tel: +39 011 9083 046
Fax: +39 011 9083 083
Project Web site:
: Transport - Vehicle Control
01.04.98 - 31.07.2000
navigation, anti-collision, driver support systems, ADAS, digital map database, transport
Key Project Participants:
Centro Ricerche Fiat S.C.p.A. (IT)
AB Volvo (SE)
Centrale Organisatie TNO (NL)
Fraunhofer Gesellschaft zur Furderung der Angewandten Forschung E.V. (DE)
GIE Renault Recherche Innovation (FR)
Navigation Technologies B.V. (NL)
Siemens Automotive S.A. (FR)
Swedish National Road and Transport Research Institute (VTI) (SE)
Transport Research & Development
International S.A. (GR)
TuV Kraftfahrt GmbH (DE)
D 3.1 System Architecture definition
D3.2 Interfaces Definition