AutoNet 2030: cooperative networked automated driving

EPFL collaborates to the European project AutoNet 2030 with the aim of developing and testing a co-operative technology supporting fully automated driving.

AutoNet 2030 (Co-operative Systems in Support of Networked Automated Driving by 2030) aims to develop a co-operative technology for fully automated driving, based on a decentralized decision-making strategy, which is enabled by mutual information sharing among nearby vehicles. The project is aiming for a 2020/2030 deployment time horizon, taking into account the expected preceding introduction of co-operative communication systems and sensor based lane-keeping/cruise-control technologies.

The AutoNet 2030 project aims to demonstrate how the combination of cooperative wireless communications and on-board sensors will make lane-keeping, manoeuvring negotiations and interactions between automated/manually driven vehicles more efficient and reliable. The prototyped cooperative automated driving system will be fully integrated into test vehicles and demonstrated on a test track.

Using results from drive-testing measurements, the effect of scaling-up to dense traffic scenarios will be investigated through computer simulations. The project aims to actively contribute to the on-going standardization of cooperative vehicular communications at the European Telecommunications Standards Institute’s Intelligent Transportation Systems (ETSI ITS) unit.

Financed by the European Union, AutoNet2030 is a balanced partnership between five industrial partners (BroadBit, BaseLabs, Fiat Research Centre, Volvo Technology Corp, Hitachi Europe Ltd.) and four research institutions (ARMINES, EPFL, Institute of Communication & Computer Systems, Technical University of Dresden). DISAL is the EPFL’s laboratory participating to this project. It will bring its contribution and expertise for two determinant parts:

  • Development of efficient decentralised manoeuvring control algorithms.
  • Expertise on handling noisy sensing and constrained actuation.

This project will be conducted by a postdoctoral researcher, Ali Marjovi, and will be carried out at Distributed Intelligent Systems and Algorithms Laboratory, headed by Prof. Alcherio Martinoli. It will last three years.

Press release 20.01.2017

Principal investigator Prof. Alcherio Martinoli
Project manager Dr. Ali Marjovi
Sponsor European Union (FP7)
Period 2013-2016
Laboratory DISAL
External Partners ARMINES (France), BaseLabs (Germany), BroadBit (Hungary), Fiat Research Center (Italy), Hitachi Europe (UK), ICCS (Greece), Technical University of Dresden (Germany), Volvo Technology Corp (Sweden)
Collaboration TRACE