Addressing challenges towards the deployment of higher automation

Hi-Drive addresses a number of key challenges, which are currently hindering the progress of developments in vehicle automation. Our key aim is to advance the state of the art of Automated Driving (AD) technologies. We focus on testing, demonstrating, and evaluating robust high automation functions in a large set of traffic environments, not currently achievable:

Hi-Drive: Exploring Operational Design Domains (ODDs) and the challenges within the different levels of Driving Automation as classified by SAE standards
Hi-Drive concept towards High Automation – Less limits for ODD

The Hi-Drive concept builds on extended and continuous ODDs. This concept makes it possible to operate a vehicle in variable traffic conditions, and stay interoperable across borders and brands. We communicate in automation mode with the external world and anticipate traffic conditions beyond the line of sight.

Hi-Drive strives to extend the ODDs and reduce the frequency of the takeover requests by selecting and implementing technology enablers. These enablers lead to highly capable CAD functions. They will operate in diverse driving scenarios including, but not limited to, urban traffic and motorways.

Tests are executed on TEN-T cross-border corridors. The focus is on motorways that provide communication support from the infrastructure and on a selection of urban nodes.

Hi-Drive approach for test execution, data collection, and systemic evaluation

Building on the results of the EU-funded project L3Pilot, Hi-Drive extends the data collection across EU borders in variable traffic, weather, and visibility conditions. The vast geographical coverage of our test sites across Europe enables a more realistic scaling up of the results to an EU level.
The Hi-Drive approach to testing and evaluation is systemic. The impacts evaluation takes place on various levels starting from isolated single AD functions, via users, to the transport system level and assessing socio-economic changes.

With the data collected from the tests, we first evaluate direct impacts of AD related to individual driver-vehicle behaviour, interaction with other road users, and vehicle behaviour. By means of micro- and macroscopic simulation, these impacts are scaled up to a societal level. Thereby we consider the impacts of AD on transport system level performance indicators such as transport system efficiency, network performance, and the inclusion of those who do not currently have suitable access to mobility, such as senior citizens or the disabled.

This development is accompanied by the definition of quantified future scenarios, considering different factors that might affect the deployment of AD technology, users’ reactions, mobility patterns, external influences and regulatory measures.

Project Budget
€60 million

Funding
€30 million. Hi-Drive has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101006664.

Project Timeframe
48 months (1 July 2021 – 30 June 2025)

Project Coordinator
Aria Etemad, Volkswagen AG

40 Partners
OEMs, Automotive Suppliers, Research Institutes, Traffic Engineering and Deployment Companies

Hi-Drive Partners

Countries
Belgium, France, Finland, Germany, Hungary, Greece, Italy, Israel, The Netherlands, Norway, Spain, Sweden, Switzerland, UK

Project Coordinator
Aria Etemad
Volkswagen Group Innovation
38440 Wolfsburg
aria.etemad@volkswagen.de

Dissemination Manager
Sarah Metzner
European Center for Information and Communication Technologies – EICT GmbH
EUREF-Campus, Haus 13
Torgauer Str. 12-15
10829 Berlin
sarah.metzner@eict.de

Co-funded by the European Union under Horizon 2020 programme
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