Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

Author:

Ciuffo Biagio1ORCID,Makridis Michail2ORCID,Padovan Valter1,Benenati Emilio3ORCID,Boriboonsomsin Kanok4ORCID,Chembakasseril Mamen Thomas5,Daras Petros6ORCID,Das Viswanath3ORCID,Dimou Anastasios6,Grammatico Sergio3ORCID,Hartanto Ronny5,Hoelscher Malte7ORCID,Jiang Yu4ORCID,Krilasevic Suad3,Liu Shangrui4,Nguyen Le Quang Nhat5,Rosier Cas3,Ruan Pingbo4,Wei Zhensong4ORCID,Wu Guoyuan4,Zhao Xuanpeng4,Zhao Zhouqiao4ORCID

Affiliation:

1. European Commission, Joint Research Centre (JRC), Ispra, Italy

2. Institute for Transport Planning and Systems (IVT), ETH Zürich, Zürich, Switzerland

3. Delft Center for Systems and Control, TU Delft, Delft, The Netherlands

4. Center for Environmental Research and Technology, University of California, Riverside, Riverside, CA

5. Rhine-Waal University of Applied Science, Robotics Lab HRSW, Kleve, Germany

6. Information Technologies Institute, Centre for Research and Technology, Hellas, Thessaloniki, Greece

7. Computer Science and Media Department, Leipzig University of Applied Sciences, Leipzig, Germany

Abstract

Vehicle automation and connectivity bring new opportunities for safe and sustainable mobility in urban and highway networks. Such opportunities are however not directly associated with traffic flow improvements. Research on exploitation of connected and automated vehicles (CAVs) toward a more efficient traffic currently remains at a theoretical level, and/or based on simulation models with limited reliability. Furthermore, testing CAVs in the real world is still costly and very challenging from an implementation perspective. A possible alternative is to use automated robots. By designing and testing both the low- and the high-level controllers of CAVs, it is indeed possible to reach a better understanding of the challenges that future vehicles will need to face. Robotic applications can effectively test these challenges within a wide variety of research communities—for example, via robotic competitions. Along this direction, the Joint Research Centre has organized the first European robotic traffic competition for automated miniature vehicles. Each team participated with four robots and was judged based on a set of indicators that assess the collective behaviors of the vehicles. Results show the suitability of the methodology with different teams proposing completely different approaches to deal with the challenge and thus achieving different results. Future competitions may further raise awareness about the possibility of using CAVs to improve traffic and to engage with a broader community to design systems that are really capable of achieving this goal.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference34 articles.

1. Alonso Raposo M., Ciuffo B., Alves Dias P., Ardente F., Aurambout J., Baldini G., Baranzelli C., et al. The Future of Road Transport - Implications of Automated, Connected, Low-Carbon and Shared Mobility. EUR 29748 EN. Publications Office of the European Union, Luxembourg, 2019. https://publications.jrc.ec.europa.eu/repository/handle/JRC116644. Accessed July 28, 2021.

2. TrafficFluid. ERC Advanced Grant: Lane-free Artificial-Fluid Environment for Vehicular Traffic. https://www.trafficfluid.tuc.gr/en/home. Accessed July 28, 2021.

3. OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems

4. Tiernan T., Bujanovic P., Azeredo P., Najm W. G., Lochrane T. CARMA Testing and Evaluation of Research Mobility Applications. Federal Highway Administration, U.S. Department of Transportation, 2019. https://doi.org/10.21949/1503647.

5. Platoon of SAE Level-2 Automated Vehicles on Public Roads: Setup, Traffic Interactions, and Stability

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