# An Optimal Coordination Framework for Connected and Automated Vehicles in two Interconnected Intersections

## TL;DR

This paper introduces a decentralized optimal control framework for coordinating connected and automated vehicles at two interconnected intersections, aiming to minimize travel time while ensuring safety at conflict zones.

## Contribution

It presents a real-time implementable control solution that optimally manages vehicle acceleration and deceleration in interconnected intersections, considering safety and energy efficiency.

## Key findings

- Framework reduces travel time in simulations
- Ensures safety at conflict zones
- Adapts to no-solution scenarios with energy optimization

## Abstract

In this paper, we provide a decentralized optimal control framework for coordinating connected and automated vehicles (CAVs) in two interconnected intersections. We formulate a control problem and provide a solution that can be implemented in real time. The solution yields the optimal acceleration/deceleration of each CAV under the safety constraint at "conflict zones," where there is a chance of potential collision. Our objective is to minimize travel time for each CAV. If no such solution exists, then each CAV solves an energy-optimal control problem. We evaluate the effectiveness of the efficiency of the proposed framework through simulation.