Network of automated vehicles: the AutoNet 2030 vision
| Autor: | De La Fortelle, Arnaud, Qian, Xiangjun, Diemer, Sébastien, Grégoire, Jean, Moutarde, Fabien, Bonnabel, Silvère, Marjovi, Ali, Martinoli, Alcherio, Llatser, Ignacio, Festag, Andreas, Sjöberg, Katrin |
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| Přispěvatelé: | Robotics & Intelligent Transportation Systems (RITS), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre de Robotique (CAOR), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), EPFL, DISAL, Distributed Intelligent Systems and Algorithms Laboratory (DISAL), Ecole Polytechnique Fédérale de Lausanne (EPFL)-Ecole Polytechnique Fédérale de Lausanne (EPFL), Technische Universität Dresden, Vodafone Chair Mobile Communications Systems, Vodafone Chair Mobile Communications Systems, Technische Universität Dresden = Dresden University of Technology (TU Dresden)-Technische Universität Dresden = Dresden University of Technology (TU Dresden), Volvo, VOLVO-VOLVO, European Project, MINES ParisTech - École nationale supérieure des mines de Paris |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Proceedings of the ITS World Congress ITS World Congress ITS World Congress, Sep 2014, Detroit, United States |
| Popis: | electronic proceedings; International audience; AutoNet2030 - Co-operative Systems in Support of Networked Automated Driving by 2030 - is a European project connecting two domains of intensive research: cooperative systems for Intelligent Transportation Systems and Automated Driving. Given the latest developments in the standardization of vehicular communications, vehicles will soon be wirelessly connected, enabling cooperation among them and with the infrastructure. At the same time, some vehicles will offer very advanced driving assistance systems, ranging from Cooperative Adaptive Cruise Control (C-ACC) to full automation. The research issues addressed in AutoNet2030 are as follows: how can all these vehicles with different capabilities most efficiently cooperate to increase safety and fluidity of the traffic system? What kind of information should be exchanged? Which organization (e.g. centralized or distributed) is the best? The purpose of this paper is to introduce the vision and concepts underlying the AutoNet2030 project and the direction of this ongoing research work. |
| Databáze: | OpenAIRE |
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