Open Access Repository for HADRIAN Project
Published November 22, 2022 | Version v1
Conference paper Open

Trustworthy Automated Driving through Increased Predictability: A Field-Test for Integrating Road Infrastructure, Vehicle, and the Human Driver

Creators

  • 1. Virtual Vehicle Research GmbH
  • 2. University of Surrey
  • 3. National Technical University of Athens
  • 4. Federal Highway Research Institute,
  • 5. Autobahnen- und Schnellstraßen-Finanzierungs-Aktiengesellschaft

Description

Higher levels of Automated driving (AD) vehicles require new allocations of functions among drivers, vehicles, and road infrastructure. The European Horizon 2020 project HADRIAN investigates how such reallocations could be practically achieved as part of Collaborative Connected and Automated Mobility (CCAM) to meet the benefit expectations of drivers while increasing safety. In a field demonstration it is shown how road infrastructure can be used to expand the prediction horizon of AD vehicles and how multimodal, driver-state dependent human machine interactions (HMI) could help address European mobility needs with AD vehicles and increase operational acceptance and safety. Whereas performance results of the various innovations are reported elsewhere, in this paper the evaluation of the feasibility of the HADRIAN innovation in an open road field-demonstration is described.

Files

Trustworthy Automated Driving through Increased Predictability_A Field-Test for Integrating Road Infrastructure_Vehicle_and the Human Driver.pdf

Files (525.3 kB)

Additional details

Funding

HADRIAN – Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs 875597
European Commission