Simulation of the effects of different AI distributions on urban mobility systems

Context

The "Future Habitat Mobility" research project is investigating how AI-based functionalities in future mobility systems can be distributed efficiently and purposefully between vehicle, infrastructure and cloud. The focus is on the question of which tasks should be carried out at which system level in order to optimally meet requirements in terms of performance, safety, scalability and sustainability. The focus is on the development and evaluation of future-proof system architectures for networked and autonomous mobility solutions. Both technical and systemic aspects such as latency, data availability, robustness, energy efficiency, communication effort as well as security and data protection requirements are taken into account. A central component of the project is the model- and simulation-based analysis of various distribution strategies - from purely vehicle-based approaches to hybrid architectures and cloud-centric concepts. These strategies are examined and compared using realistic use cases from the division of intelligent mobility in order to be able to make well-founded statements about their potential, limits and application scenarios.

Targets

• Analysis and comparison of different strategies for the distribution of AI functionalities between vehicle, infrastructure and cloud

• Development and evaluation of future-proof system architectures for connected and autonomous mobility systems

• Modeling and simulation-based investigation of realistic mobility use cases

• Evaluation of the strategies in terms of performance, security, latency, robustness, energy efficiency and sustainability

• Identification of suitable architectures and distribution approaches for different application and operating scenarios

Prerequisites

• Knowledge of Python
• Knowledge of the CARLA simulation environment is an advantage