Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment

TL;DR

This paper evaluates how coordinated CAVs improve traffic flow and fuel efficiency in mixed traffic environments through simulation, considering various CAV penetration rates and traffic volumes.

Contribution

It introduces a framework for coordinating CAVs and HDVs in complex traffic scenarios and analyzes their impact on efficiency and fuel economy.

Findings

Higher CAV penetration reduces total travel time.

Coordination improves fuel economy.

Traffic efficiency varies with CAV penetration and volume.

Abstract

Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper, we apply a framework that allows coordination of CAVs and HDVs traveling through a traffic corridor consisting of an on-ramp merging, a speed reduction zone, and a roundabout. We study the impact of different penetration rates of CAVs and traffic volumes on the efficiency of the corridor. We provide extensive simulation results and report on the benefits in terms of total travel time and fuel economy.