Technical Specification Methodology for an Automotive Proving Ground Dedicated to Connected and Automated Vehicles

  • Zsolt Szalay Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engiseering, Department of Automotive Vehicle Technology
  • Ádám Nyerges Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engiseering, Department of Automotive Vehicle Technology
  • Zoltán Hamar Automotive Proving Ground Zala
  • Mátyás Hesz Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engiseering, Department of Automotive Vehicle Technology

Abstract

Today’s vehicles already have several driver assistant systems and in the near future highly automated vehicles will also appear in road transport. Higher automation levels rely on disruptive technologies that cannot be tested and approved in the former way. To be able to guarantee future road safety also disruptive testing and validation methods are required. The complexity of the systems and the stochasticity of the potential traffic situations demand new approaches with different testing levels and approval layers. Since there are no off-the-self solutions available beyond the research the authors also participate in international activities like the Gear 2030 EU level initiative. This paper will discuss the proposed new approach for connected and automated vehicle testing methodology concluding with the technical specification results for the new Hungarian automotive proving ground.

Keywords

Connected and Automated Vehicles, Autonomous Driving, Self-driving Vehicles, testing and validation, test track, proving ground, Gear 2030
Published in Onlinefirst
11-04-2017
How to Cite
SZALAY, Zsolt et al. Technical Specification Methodology for an Automotive Proving Ground Dedicated to Connected and Automated Vehicles. Periodica Polytechnica Transportation Engineering, [S.l.], v. 45, n. 3, p. 168-174, 2017. ISSN 1587-3811. Available at: <https://pp.bme.hu/tr/article/view/10708>. Date accessed: 23 oct. 2017. doi: https://doi.org/10.3311/PPtr.10708.
Section
Articles