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


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

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Context

The "Future Habitat Mobility" research project is investigating how AI functionalities can be optimally distributed between vehicle, infrastructure and cloud in future mobility systems. The aim is to develop efficient, safe and sustainable architectures for connected, autonomous mobility.

A central component is the model- and simulation-based analysis of different architecture variants (in-vehicle, hybrid, cloud-based) using realistic use cases.

Aims

The aim of this work is the quantitative evaluation of different AI distribution strategies in urban traffic scenarios using simulation.

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