MiRoVA - SP5: Multiple Humans and Automations - Modelling of heterogeneously automated road users and their cooperation

• Applicant: Professor Dr. Klaus Bengler
• Subject Area: Human Factors, Ergonomics, Human-Machine Systems
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 523663459

The cooperations between multiple heterogeneously automated road users are examined and modeled. It is investigated whether and how the cooperativeness and migration ability of traffic participants can be specifically influenced. The aim is to gain a deeper understanding of the processes in mixed traffic, explore possible incentive systems and, if necessary, evaluate them based on models, and identify incentives that would lead to negative and positive outcomes in cooperation during migration. First, based on the meta-model of SP1, a systematized ontology for studying cooperation among automated road users, utilizing UML2 and the functional resonance analysis method (FRAM) methods, is developed. This qualitative model will be validated in expert workshops. Afterwards, a field observation is conducted to apply the ontology and interaction patterns to real traffic behavior, including interactions with a visibly automated Wizard of Oz vehicle. Subsequently, the qualitative models are transitioned into quantitative, mathematical models using game theory, focusing on cooperative behavior between traffic participants of different automation levels. In the next step, the models are quantified and refined through driving simulation, evaluating cooperative behavior, safety, and efficiency across different automation levels and penetration rates. Based on these results, the game theory model is supplemented with migration effect parameters, aiming to predict cooperation and driving behavior in various migration scenarios, ultimately integrating it into the overall simulation. Subsequently, the model will be validated by driving simulation, comparing its predictions with observed behavior, using both quantitative and qualitative evaluation methods. Finally, potential incentive systems for cooperation are explored, based on modeling and expert input, aiming to improve and support a good migration of cooperative behavior among multiple heterogeneously automated road users.

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