Narasimhan, Mukundhan (University of Florida), Du, Lili (University of Florida)

User-Centric Metrics: Making the Business Case for Cooperative Driving Automation Investment

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Abstract

Cooperative driving automation (CDA) enables communication among connected and automated vehicles, other road users, and infrastructure, offering significant potential to improve transportation efficiency and freight movement. The current state of research reflects a lack of understanding of the scale of benefits CDA can provide to various stakeholders, contributing to slow investment in this technology across multiple sectors. This study aims to address this issue by demonstrating how a promising CDA technology—connected and automated truck (CAT) platooning—benefits individual users and traffic operators and thereby making a compelling business case and accelerating CAT’s implementation. Specifically, through comprehensive numerical experiments in a real-world traffic corridor, the study evaluates the advantages of a vehicle-to-everything enabled Sequential truck Platoon Formation (StPF) compared to traditional vehicle-to-vehicle enabled cooperative adaptive cruise control and nonautomated driving scenarios. The experimental results indicate that StPF can reduce travel time by 3.67% for truckers, compared to human driving, in moderately congested traffic (Level of Service D). Moreover, StPF presents attractive benefits for traffic operators by reducing vehicle hours traveled by up to 2%.