Can CAVs benefit humans in traffic?
Social impact of CAVs – coexistence of machines and humans in the context of route choice
This research examines the impact of introducing a fleet of centrally controlled AI-driven vehicles (CAVs) into a traffic system populated by human drivers (HDVs) using a simulated two-route bottleneck scenario.
The study reveals that even with simple CAV strategies like minimizing travel time, CAVs can negatively impact human drivers, especially with low CAV adoption rates. The study also highlights the potential of more sophisticated CAV strategies that factor in human behavior and system optimization for better overall traffic flow but acknowledges the ethical considerations and potential for manipulation of human drivers. This is particularly relevant to LLM-based multi-agent system development as it underscores the importance of designing agent behavior that considers the broader system impact and potential unintended consequences on human users.