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Anti-Collision Autonomous Support and
Safety Intervention System

Project Summary

The AC ASSIST project will address the needs of drivers for systems to support the driving task, specifically in critical situations.

Its focus is on the validation of autonomous systems capable of providing anti-collision assistance and vehicle control. The aim is to demonstrate warning and intervention functions that provide Collision Avoidance along the longitudinal axis of the vehicle. The work will consolidate and build upon concepts developed within the EUREKA PROMETHEUS Collision Avoidance project, together with results from a large number of projects carried out under the DRIVE I and II Transport Telematics programmes of the second and third Research Framework programmes.

The project team will begin with a user requirements definition phase, then prepare specifications for demonstrator systems and their verification, leading to the building of five demonstrator vehicles, and finally conduct user validation trials. Core tasks include a definition of system requirements, based on the clarification of user needs and operational scenarios, and the definition and delivery of integrated on-board information by the fusion of data from several sensors.

The technologies which will be utilised to construct demonstrator systems include microwave radar and computer-vision, which are at an advanced stage of research for on-vehicle application.

The project will assess the benefits attainable for road safety through the avoidance of critical driving situations, and for fuel economies and emission performance through optimised driver behaviour and vehicle control. Elderly and certain other categories of drivers with disabilities are expected to gain particular benefit from the applications to be researched in this project, and will be included within the user sample during the validation trials. At the conclusion there will be an examination of the issues which may arise due to the introduction of such features into the market.

Major Validation Sites

FORDWERKE AG, Testbaan Lommel, BE
VTI, Linkšping, SE
TUV, Cologne, DE


Users involved include a sample of technically aware drivers, for the verification phase, and a sample of 200 ordinary drivers, with a weighting to disabled and elderly drivers.


The techniques are based on fusion of data from on-board sensors of the external driving environment and RADAR/computervision. An assessment will be carried out of the onset of critical driving situations and activation of levels of driver support such as warnings to the driver and, in emergency situations, intervention in the driver-machine control loop.

Expected Benefits

Provision of a level of support to the driver appropriate to the prevailing traffic conditions thereby:

- reducing 'thinking distance' in emergency braking situations
- improving vehicle control especially by disabled and elderly drivers and improving driver comfort
- reducing the onset of conditions which result in longitudinal vehicle collisions
- improving driver performance in poor weather conditions
- improving driver performance in low visibility conditions
- establishing new mass market applications for advanced sensor products with consequent benefits to EU automotive and electronics industries
- improving competitiveness of European vehicle product
- building on previous investments in basic research by moving down the path to commercial exploitation.

Contribution to EU Policies

Reduced disruptions to traffic flow will improve transport network efficiency and mobility of people and goods. There is potential for reducing emergency call-outs, deaths and injuries due to longitudinal collisions between vehicles. Industry will benefit from improved competitiveness and technological advantage.

Contact Person

Nigel Clarke, Jaguar Cars Ltd, Electrical Engineering, UK
Tel: +44 1203 216 662
Fax: +44 1203 305 988
e-mail: (email removed)

Project Participants

Jaguar Cars Ltd, UK
AB Volvo, SE
Centro Ricerche FIAT SCpA, IT
Centro Studi sui Sistemi di Trasporto SpA, IT
Lucas Applied Technology Ltd, UK
Magnetti Marelli SpA, IT
Matra Cap Systemes SA, FR
PŸnder, Volhard, Weber & Axter, DE
Renault, FR
Rover Group Ltd, UK
Swedish National Road and Transport Research Institute (VTI), SE
TUV Kraftfahrt GmbH, DE

Public deliverables

D11.2 Microsimulation of Traffic Safety Effects