Skip to main content

EU AdaptIVe automated driving project begins work

The European research project AdaptIVe (Automated Driving Applications & Technologies for Intelligent Vehicles), a consortium of 29 partners, began work on 1 February. It aims to achieve breakthrough advances that will lead to more efficient and safe automated driving. The consortium, led by Volkswagen, consists of ten major automotive manufacturers, suppliers, research institutes and universities and small and medium-sized businesses. The project has a budget of US$33.7 million and is funded by the Eu
February 5, 2014 Read time: 2 mins
The European research project AdaptIVe (Automated Driving Applications & Technologies for Intelligent Vehicles), a consortium of 29 partners, began work on 1 February.  It aims to achieve breakthrough advances that will lead to more efficient and safe automated driving.

The consortium, led by 994 Volkswagen, consists of ten major automotive manufacturers, suppliers, research institutes and universities and small and medium-sized businesses. The project has a budget of US$33.7 million and is funded by the 1690 European Commission.

Automated vehicles will contribute towards enhanced traffic safety by assisting drivers and minimising human errors. They are also expected to make traffic flow more efficiently, ensuring optimal driving conditions with minimal speed variations in the traffic flow.

“This complex field of research will not only utilise onboard sensors, but also cooperative elements such as vehicle-to-vehicle and vehicle-to-infrastructure communication. Therefore, I am glad that most European automotive companies are cooperating in this pre-competitive field to create new solutions for automated driving,” says Professor Jürgen Leohold, executive director of Volkswagen Group Research.

During the projects 42 months’ duration, the partners will develop and test new functionalities for cars and trucks, offering both partially automated and highly automated driving on motorways, in urban scenarios, and for close-distance manoeuvres.

The project will focus on achieving ideal cooperative interaction between the driver and the automated system by using advanced sensors, cooperative vehicle technologies and adaptive strategies in which the level of automation is dynamically adapted to the situation and driver status.

Seven cars and one truck will demonstrate various combinations of automated functions. In addition to addressing technology development aspects, the project will also explore legal implications for manufacturers and drivers - in particular regarding product liability and road traffic laws.

Related Content

  • March 7, 2013
    TTTech joins SafeTrans transportation safety group
    To strengthen its close cooperation with partners and experts in the transportation field, Austrian network solutions provider TTTech has become a member of the competence group Safety in Transportation Systems (SafeTrans). SafeTrans is a group of industry experts and decision makers from railway, aerospace, space, automotive, off-highway and industrial segments and academia. The goal of the group is to combine know-how regarding research and development in the sector of embedded systems for transportation
  • November 21, 2013
    Autonomous vehicles, the pros and cons
    Driver interface and human factors could provide the biggest obstacles to autonomous vehicles as Jon Masters discovers.
  • February 3, 2012
    A new beginning for travel information, based on users' needs
    Despite its name, the EU's forthcoming SUNSET project could represent a new beginning for travel information services. Here, Susan Grant-Muller and Frances Hodgson from the Institute for Transport Studies at the University of Leeds detail a project which is intended to exert a greater influence on network users' travel habits
  • July 23, 2024
    Aimsun helps use community intelligence to improve mobility
    A paradigm shift from traditional to data-driven community-aware transport solutions has guided development of cooperative transport management strategies in the FRONTIER research project