String Stability of a Vehicular Platoon with the use of Macroscopic Information

TL;DR

This paper explores how macroscopic traffic information can enhance the control and stability of autonomous vehicle platoons, using mesoscopic modeling and ISS analysis to develop and validate stable control laws.

Contribution

It introduces a mesoscopic traffic model and demonstrates control laws that ensure string stability in vehicle platoons, validated through simulations.

Findings

Control laws ensure string stability

Simulations validate the approach

Macroscopic info improves platoon control

Abstract

We investigate the possibility to use macroscopic information to improve control performance of a vehicular platoon composed of autonomous vehicles. A general mesoscopic traffic modeling is described, and a closed loop String Stability analysis is performed using Input-to-State Stability (ISS) results. Examples of mesoscopic control laws are provided and shown to ensure String Stability properties. Simulations are implementedin order to validate the control laws and to show the efficacy of the proposed approach.