This article presents a multiagent approach to managing autonomous vehicles at intersections, aiming to improve traffic efficiency and safety. The authors argue that current traffic control methods, such as traffic lights and stop signs, are inadequate for the increased sensitivity and precision of autonomous vehicles. They propose a reservation-based system where each intersection acts as an autonomous agent, using a detailed communication protocol to coordinate vehicle movements. The system allows vehicles to "call ahead" and reserve space-time at intersections, significantly reducing delays compared to traditional traffic control methods. The article includes a custom simulator for testing the system, detailed communication protocols, and experimental results demonstrating the effectiveness of the proposed mechanism. The authors also discuss extensions to the system, such as controlling human-driven vehicles and prioritizing emergency vehicles, and analyze potential failure modes. The overall goal is to create a flexible, efficient, and safe intersection management system for autonomous vehicles.This article presents a multiagent approach to managing autonomous vehicles at intersections, aiming to improve traffic efficiency and safety. The authors argue that current traffic control methods, such as traffic lights and stop signs, are inadequate for the increased sensitivity and precision of autonomous vehicles. They propose a reservation-based system where each intersection acts as an autonomous agent, using a detailed communication protocol to coordinate vehicle movements. The system allows vehicles to "call ahead" and reserve space-time at intersections, significantly reducing delays compared to traditional traffic control methods. The article includes a custom simulator for testing the system, detailed communication protocols, and experimental results demonstrating the effectiveness of the proposed mechanism. The authors also discuss extensions to the system, such as controlling human-driven vehicles and prioritizing emergency vehicles, and analyze potential failure modes. The overall goal is to create a flexible, efficient, and safe intersection management system for autonomous vehicles.