Modeling of automation technology and its migration (SP3)

• Applicant: Professor Dr.-Ing. Steven Peters
• Subject Area: Traffic and Transport Systems, Intelligent and Automated Traffic
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 523663459

The primary objective of SP3 is to map out potential developmental paths for variants of the automated driving system (ADS). The process begins by analyzing the ontological relations relevant to ADS migration, as defined in SP1. Additionally, viable modeling approaches suitable for representing the aforementioned ontology are evaluated. Based on the analysis of ontological relations and modeling approaches, a model for ADS, their boundaries, and interfaces to human drivers and other road users is derived. This model serves as a foundation for modeling currently existing ADS variants and studying potential future variants. The derived models for existing and future ADS variants are then linked together to form a directed acyclic graph, mapping out plausible future migratory paths. This graph provides an abstract basis for the study of individual migration paths in SP1. For a selected subset of ADS variants, the models are validated through simulator studies. These studies aim to assess the accuracy and feasibility of the modeled variants. To contribute to the integrated simulation model used in SP6, ADS variants of particular interest are simplified and implemented on a tactical and operational behavior level within the SUMO environment. This implementation allows for further testing and evaluation of the selected variants within simulated traffic scenarios. The mapping of potential developmental paths for ADS variants, along with the validation and implementation efforts, provides a comprehensive framework for understanding and exploring the migration of automated driving systems.

• DFG Programme: Research Units
• Subproject of: FOR 5702: MiRoVA - Migration of Road Vehicle Automation