The project analyses the impacts of automated driving in Switzerland for specific usage scenarios. The results will support politics, administration, and relevant stakeholders in preparing for the foreseeable introduction of automated driving in Switzerland.

Based on an analysis of both completed and ongoing research projects, this work will structure the available knowledge on automated driving. Key results are evaluated and documented using a set of criteria. Based on this, specific usage scenarios will be developed and agreed upon with the advisory committee of the project. The usage scenarios will serve as a common basis for sectoral in-depth studies in subsequent subprojects. These subprojects will be carried out by other institutions, covering the following topics:

• Impacts on mobility patterns and infrastructure requirements
• Handling of data
• Mixed traffic
• Spatial impacts

The usage scenarios are then iteratively substantiated and worked out in detail by incorporating the quantitative impact analyses of the different subprojects. Desirable and non-desirable developments will be identified based on normative criteria deducted from policy papers of the public stakeholders. The desirable developments and impacts will be compacted into a target scenario.

Based on this target scenario, an overall mobility picture will be created and measures defined that are deemed essential to reach it. The target scenario is estimated and assessed as to the impacts on traffic infrastructure requirements, spatial development, energy demand, environment, and society, employing an interdisciplinary approach that uses methodologies from technology assessment, engineering, and economic sciences.

ITAS’s work concentrates on Subproject 1, which provides an overview of the state of knowledge and research gaps in the field and supports the development of usage scenarios. Towards the end of the project term, ITAS supports the synthesis of the work in the subprojects and the development of an integrated perspective on the potential impacts of automated vehicles on mobility patterns, infrastructure requirements, spatial development, energy, environment, and society.

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