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TRIMIS

Highly Automated Vehicles for Intelligent Transport

PROJECTS
Funding
European
European Union
Duration
-
Status
Complete with results
Geo-spatial type
Other
Total project cost
€27 538 372
EU Contribution
€16 998 662
Project website
Project Acronym
HAVEit
STRIA Roadmaps
Connected and automated transport (CAT)
Transport mode
Road icon
Transport policies
Decarbonisation,
Safety/Security,
Digitalisation
Transport sectors
Passenger transport,
Freight transport

Overview

Call for proposal
FP7-ICT-2007-1
Link to CORDIS
Background & Policy context

The project aimed at the improvement of road safety, energy efficiency and comfort through the development of a virtual co-system, which will support the driver.

Driver monitoring was used to estimate the driver's performance and state, including driver distraction and driver drowsiness. To minimise underload and overload situations, a layered approach of dynamic task repartition between driver and co-system was used, starting with a conservative layer and expanding to more future-oriented layers that give the co-system more authority and allow for a more fluid transition of control.

Automated driving requires an adequate safety architecture from fail safe to fail tolerant. Therefore, a scalable vehicle architecture will be mandatory for the migration from single Advanced Driver Assistance Systems (ADAS) to a powerful automated driving concept.

Comfort, safety and the efficient usage of energy were addressed by the HAVEit highly automated vehicle applications in passenger cars as well as in heavy duty trucks:

  • Automated queue assistance
  • Construction site assistance
  • Temporary auto-pilot
  • Active green driving

After implementing the aforementioned applications, their benefit and impact was assessed in relevant scenarios.

Objectives

HAVEit aimed at significant improvement in terms of traffic safety and efficiency by three measures:

  1. Development and validation of the next generation of ADAS with an optimised task repartition between the driver and the highly automated vehicle, with higher level of automation compared to the current state of the art.
  2. Optimum system joining and interaction between the driver and the co-system, by defining different degrees of automated driving, which will be selected according to the needs of the driving task.
  3. Development and validation of a scalable and safe vehicle architecture that includes advanced redundancy management, in order to suit the needs of highly automated vehicle applications.

HAVEit integrated seven advanced vehicle applications for both passenger cars and trucks aiming at enhanced safety and comfort as well as improved fuel efficiency.These applications are categorised into two groups:

  1. The highly automated driving group implemented solutions for queue assistance, construction site assistance, temporary auto pilot, and active green driving.
  2. The safety architecture application group presented a migration concept and a demonstrator to show possible migration paths.
Methodology

Sensors: Various external sensors were used to achieve a wide enough perception area for all applications. Especially for safety related applications, effort will be given to achieve coverage of the area of interest from multiple sensors.

Driver monitoring: The driver was monitored directly and indirectly all the time to obtain a confidence value on her/his capacity and attention status in order to optimise the tasks repartition and the feedback strategy.

Platform: A scalable vehicle architecture, by means of smart sensors, standard fail silent ECU and smart actuators, was defined to cope with the needs for highly automated driving, based on conventional actuators up to fail tolerant integration of drive-by-wire to allow autonomous driving.

Funding

Parent Programmes
Institution Type
Public institution
Institution Name
European Commission
Type of funding
Public (EU)
Specific funding programme
FP7-ICT

Results

At the Final Project Event, in Borås (Sweden) and at the nearby Hällered Volvo test track, the project team demonstrated an automated vehicle driving through a narrow construction site. The driver did not steer, accelerate or brake one single time. Another car passes the vehicle in front of it, after the driver pushes the appropriate button. A truck recognises a traffic jam and automatically slows down. All of these highly automated driving features have been developed through the collaboration of the European automotive industry and scientific community, with an eye toward making driving safer, more environmentally-friendly and more comfortable.

Innovation aspects

The realisation of highly automated driving. The project has developed, validated and demonstrated important intermediate steps towards highly automated driving.

Technical Implications

Although the project has been very successful, various aspects will need to be further addressed in future research. For example: the level of use with respect to information received 'from outside' (V2V and V2I communication). Such information would significantly increase the perception horizon of highly automated vehicles. However, it will raise also additional questions. For example:

  • who is responsible for the information;
  • how to ensure that this information is up to date;
  • to which extent can this information be used in the highly automated vehicles;
  • potential misuse.

Policy implications

Highly automated vehicles will characterise the future of mobility, as traffic density increases and the flood of information available to drivers is growing fast. Automation will relieve drivers of driving stress as it guides them safely through traffic, in an efficient way, using environmentally friendly technology.

Other results

Improvement of road safety, energy efficiency and comfort due to the development of a virtual co-system, which enables supporting the driver. In addition, driver monitoring will be used to estimate the driver's performance and state, including driver distraction or driver drowsiness.

Policy objectives

Innovating for the future (technology and behaviour): A European Transport Research and Innovation Policy

Partners

Lead Organisation
Organisation
Continental Ag
Address
Vahrenwalder Strasse 9, 169 HANNOVER, Germany
Organisation website
EU Contribution
€4 422 353
Partner Organisations
Organisation
Institut National De Recherche En Informatique Et Automatique
Address
Domaine de Voluceau- Rocquencourt, B.P. 105 LE CHESNAY, France
Organisation website
EU Contribution
€443 284
Organisation
Vdo Automotive Ag
Address
Siemensstrasse, 93055 Regensburg, Germany
EU Contribution
€0
Organisation
Volvo Bus Corporation
Address
Fästningsvägen 1, 40508 Gothenburg, Sweden
EU Contribution
€2 482 727
Organisation
Knorr-Bremse Fekrendszerek Kft
Address
Kecskemet, Szegedi Ut 49, 6000, Hungary
EU Contribution
€0
Organisation
Allemann Technologies Sarl
Address
Rue Du Village 40, 1802 Corseaux, Switzerland
EU Contribution
€1 860
Organisation
Sick Ag
Address
Erwin Sick Strasse, 79183 Waldkirch, Germany
Organisation website
EU Contribution
€179 262
Organisation
Haldex Brake Products Ab
Address
Instrumentgatan, 26124 Landskrona, Sweden
EU Contribution
€464 586
Organisation
Knowllence Sarl
Address
17 Rue De L'eglise, 25520 Goux Les Usiers, France
EU Contribution
€131 059
Organisation
Budapest University Of Technology And Economics
Address
BUDAPEST, Muegyetem rakpart 3., 1111, Hungary
Organisation website
EU Contribution
€158 828
Organisation
Irion Management Consulting Gmbh
Address
Taegermoosstrasse 10, 78462 Konstanz, Germany
EU Contribution
€78 377
Organisation
Ecole Polytechnique Fédérale De Lausanne
Address
Batiment Ce 3316 Station 1, 1015 LAUSANNE, Switzerland
Organisation website
EU Contribution
€591 453
Organisation
Laboratoire Central Des Ponts Et Chaussees
Address
BOULEVARD LEFEBVRE 58, 75732 PARIS, France
Organisation website
EU Contribution
€245 923
Organisation
Wivw Wuerzburger Institut Fur Verkehrswissenschaften Gmbh
Address
Robert Bosch Strasse 4, 97209 Veitshochheim, Germany
EU Contribution
€805 276
Organisation
Ostbayerische Technische Hochschuleamberg-Weiden
Address
Kaiser Wilhelm Ring 23, 92224 Amberg, Germany
EU Contribution
€299 978
Organisation
Deutsches Zentrum Fr Luft Und Raumfahrt E.v
Address
Linder Hoehe, 51147 KOELN, Germany
Organisation website
EU Contribution
€1 442 810
Organisation
Continental Teves Ag & Co. Ohg
Address
GUERICKESTRASSE 7, 60488 FRANKFURT AM MAIN, Germany
EU Contribution
€0
Organisation
Association Pour La Recherche Et Le Développement Des Méthodes Et Processus Industriels
Address
Boulevard Saint Michel 60, 75272 Paris, France
Organisation website
EU Contribution
€0
Organisation
Ibeo Automobile Sensor Gmbh
Address
Merkurring 20, 22143 Hamburg, Germany
EU Contribution
€564 668
Organisation
Efkon Ag
Address
Andritzer Reichsstrasse 66, 8045 Graz, Austria
EU Contribution
€250 705
Organisation
Volvo Bus Corporation
Address
Fästningsvägen 1, 40508 Gothenburg, Sweden
EU Contribution
€0
Organisation
Continental Automotive France Sas
Address
Avenue Paul Ourliac, 31036 Toulouse, France
Organisation website
EU Contribution
€365 865
Organisation
Adc Automotive Distance Control Systems Gmbh
Address
Kemptener Strasse 99, 88131 Lindau/bodensee, Germany
EU Contribution
€0
Organisation
Universitaet Paderborn
Address
Warburger Strasse 100, 33098 Paderborn, Germany
Organisation website
EU Contribution
€1 335 022
Organisation
Institut Francais Des Sciences Et Technologies Des Transports, De L'amenagement Et Des Reseaux
Address
2, Avenue Du General Malleret-Joinville, 94114 Arcueil, France
EU Contribution
€118 861
Organisation
Institute Of Communication And Computer Systems
Address
Patission, 10682 Athens, Greece
Organisation website
EU Contribution
€829 996
Organisation
Ecole Nationale Superieure Des Mines De Paris
Address
BOULEVARD SAINT MICHEL 60, 75272 PARIS, France
EU Contribution
€0
Organisation
Volkswagen
Address
Berliner Ring 2, 1894 WOLFSBURG, Germany
Organisation website
EU Contribution
€1 091 895
Organisation
Explinovo Gmbh
Address
Schlachthofstrasse, 70188 Stuttgart, Germany
EU Contribution
€693 874

Technologies

Technology Theme
Advanced driver assistance systems
Technology
ADAS learning and harm prevention platforms
Development phase
Validation

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