(Last change: January 2021)
U-Shift - Managed Automated Driving
Motivation
Similar to the U-Shift vehicle concept, a very far-reaching approach is also followed in automation. In terms of application, the automation is to be linked much more closely to the infrastructure than today's Cooperative Automated Driving (CAD) approaches. The autonomous fleet of vehicles consisting of U-Shift Driveboards is to be controlled centrally via a platform in an integrated traffic control centre, with comprehensive infrastructure sensor technology used for protection, especially in urban areas. This infrastructure-based Managed Automated Driving (MAD) can make a much better contribution to solving traffic problems than the strongly vehicle-based automated driving (CAD) that has been planned to date.
U-Shift Control – Vision ‘A sensor on every lamppost’ – U-Shift Control
• ISAD Level AA! = Management (not yet defined)
• Basically urban approach
• Comprehensive infrastructure-based environment assessment
• Open platform for fleets, integrated fleet and energy management
Goal
U-Shift MAD is a pre-project for ‘U-Shift Control’ in which the MAD concept will be implemented for the first time. In U-Shift MAD, the suitability for approval and economic efficiency of the ‘U-Shift Control’ approach will be tested in advance.
- With regard to the eligibility for approval, the aim is to show the critical aspects of an approval of U-Shift and to show a possible solution for approval. The approval itself is not part of this study.
- In terms of economic efficiency, the aim is to demonstrate the realistic feasibility of U-Shift Control and to illustrate this in various use cases.
For these two aspects, in addition to the general use cases, a concretely proposed first application in the public space – a ‘hub to hub’ freight shuttle service with integration of a passenger transport to a suburban railway station – is to be detailed and prepared, so that all approval and licensing issues as well as the economic efficiency are clarified before the start of U-Shift Control.
The central goal of the ‘U-Shift Control’ superordinate project is to create elementary ICT building blocks for the economic exploitation of the U-Shift concept. In addition, the proposed platform should be open so that all autonomous vehicles in an urban area and/or region can be centrally controlled.
The feasibility studies for U-Shift MAD can be found here.
Sponsor
Federal Ministry of Economic Affairs and Energy
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)
Duration
10/2019 – 06/2020
Project management
Jürgen Weimer
Deutsches Zentrum für Luft- und Raumfahrt
Institut für Fahrzeugkonzepte
juergen.weimer@dlr.de
Project partners
• German Aerospace Centre, Institute of Vehicle Concepts (project management)
• German Aerospace Centre, Institute of Transportation Systems Technology
• Research Centre for Information Technology