Energy-efficient Reactive and Predictive Connected Cruise Control

TL;DR

This paper introduces a framework for energy-efficient cruise control in mixed traffic using reactive and predictive control strategies that leverage vehicle-to-vehicle communication for improved energy savings.

Contribution

It presents a novel control framework combining reactive and predictive controllers that utilize beyond-line-of-sight V2V communication for energy-efficient vehicle control.

Findings

Connectivity leads to significant energy savings in simulations.

Predictive control improves vehicle trajectory optimization.

V2V communication enhances control accuracy in mixed traffic.

Abstract

In this paper, we propose a framework for the longitudinal control of connected and automated vehicles traveling in mixed traffic consisting of connected and non-connected human-driven vehicles. Reactive and predictive controllers are proposed. Reactive controllers are given by explicit feedback control laws. In predictive controllers, the control input is optimized in a receding-horizon fashion, which depends on the predictions of motions of preceding vehicles. Beyond-line-of-sight information is obtained via vehicle-to-vehicle (V2V) communication, and is utilized in the proposed reactive and predictive controllers. Simulations utilizing real traffic data are used to show that connectivity can bring significant energy savings.