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.
| 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 |