National Transportation Center
Implementation and Evaluation of Human-in-the-Loop Connected Cruise Control (hCCC)
Project Abstract
This research investigates the implementation of a human-in-the-loop Connected Cruise Control (hCCC) system for enhanced driver safety and fuel efficiency. Unlike existing Adaptive Cruise Control (ACC) systems, hCCC integrates human driver input with V2V communications, addressing the limitations of human driving behavior in mixed traffic conditions. The project will develop the hCCC system using the CARLA simulator for initial testing and Comma 3X hardware for real-world validation. Outcomes are expected to showcase the potential of hCCC to reduce traffic congestion, emissions, and improve overall roadway safety.
Universities Involved
University of Virginia
Principle Investigators
B. Brian Park
Expected Research Outcomes & Impacts
Expected results include a robust comparison of hCCC against ACC systems, with field data highlighting safety, fuel efficiency, and user experience improvements in mixed-traffic conditions. Findings will provide essential insights into integrating human control and automation in vehicular systems, supporting safer driving environments.
Subject Areas
Connected and Autonomous Vehicles, Vehicle-to-Everything, Intelligent Transportation Systems