Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs


In 2011 EU set the goal to halve road casualties by 2020 and move close to zero fatalities in 2050. Special hopes to achieve this goal are placed in automated driving (AD), since AD is expected to significantly reduce chances of human error, reduce the impact of distracted driving, and reduce the occurrence of conflict situations leading to accidents. However, due to the high complexity and dynamics of the road environment, including traffic situations, significant challenges remain, not least in the area of vehicle-driver interaction, before a significant number of vehicles with a higher-level Automated Driving System (ADS) are deployed on our roads. Because full driving automation in an unlimited operational design domain (SAE level 5) is outside of expected feasibility over the next 10 years, humans will need to stay involved. In some situations, the human driver will encounter situations that he or she are not prepared to address. after periods of being not involved in driving, the driver has to come back into the loop, take control and start steering him/herself again, both in planned or unplanned transitions between AD use cases at different ADS levels. This requires a smooth, seamless, context-dependent “fluid” interaction / cooperation between vehicle and driver that captures and takes into account the driver's state ((current) performance/ability) as well as information from the environment / infrastructure. Appropriate human-computer interfaces FLUID HMIs that make it unnecessary for the driver to distinguish between different levels of driving automation have to be developed, thereby simplifying driver roles for more direct and safer transitions. For this, the vehicle must "know" more about the human driver, which requires the integration of AD technologies with human capabilities in a time-critical environment, the development of which is based on sensory capture of the driver's state, knowledge on generational and cultural factors, new driver models, etc. HADRIAN has three types of project objectives for safe, acceptable and trustable transition of human drivers into and out of various levels of AD / between different levels on the same road trip and on different road trips. Firstly, to comprehensively demonstrate safety, acceptability as well as usability, and trust of developed HADRIAN solutions. Secondly, to develop required technology innovation bricks and to identify/create design & development methods for human-centred AD. Thirdly, to make HADRIAN achievements available to stakeholders including industry, public authorities, and research organizations beyond the project. All three types of objectives are targeted toward overcoming several of the existing hurdles of how traditional methods of technology development interfere with successful human-centred system development. Centrally, HADRIAN will investigate how a context-dependent combination of smart sensing of the driver state and contextually sensitive interventions as well as information offerings will help drivers transition smoothly between use cases of different AD levels. This is what HADRIAN calls a “fluid human-machine interface (HMI)”. Konsortium: Participant No *: Participant organisation name Country 1 (Coordinator): VIF - Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH <> AT2: UGR – Universidad de Granada <> ES 3: NTUA - NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA <> EL4: VDI/VDE-IT - VDI/VDE INNOVATION + TECHNIK GMBH <> DE 5: TEC - FUNDACION TECNALIA RESEARCH & INNOVATION <> ES 6: IKA - RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN <> DE7: BASt – BUNDESANSTALT FUER STRASSENWESEN <> DE 8: CEA - COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES <> FR9: IESTA - INSTITUT FUR INNOVATIVE ENERGIE & STOFFAUSTAUSCHSYSTEME <> AT10: NVT – NERVTECH, RAZISKAVE IN RAZVOJ DOO <> SI 11: TUD – TECHNISCHE UNIVERSITEIT DELFT <> NL 12: ASF – ASFINAG - AUTOBAHNEN- UND SCHNELLSTRASSEN- FINANZIERUNGS- AKTIENGESELLSCHAFT <> AT13: AVL - AVL LIST GMBH <> AT 14: FORD - FORD OTOMOTIV SANAYI ANONIM SIRKETI <> TR 15: USR - UNIVERSITY OF SURREY <> UK 16: PLUS - PARIS-LODRON-UNIVERSITAT SALZBURG <> AT
Tatsächlicher Beginn/ -es Ende1/12/1931/05/23