Integrated Adaptive Cruise Control Car-Following Model Based on Trajectory Data

Abstract

Adaptive cruise control (ACC) is a commercially available vehicle longitudinal control system that adapts the vehicle’s speed to maintain a pre-set distance from the leading vehicle. ACC could potentially have significant impacts on traffic flow as the market penetration increases. In order to investigate the traffic flow mixed with vehicles using ACC, accurate ACC car following models are needed, so that the microscopic simulation platforms like VISSIM or AimSun can simulate these mixed traffic flows. However, the commercial ACC control systems are proprietary, and not in closed-form mathematical functions, thus not easily implementable in microscopic simulators. This study fills the gap by calibrating a new Integrated ACC car-following model, which is based on freeway trajectory data from two Cadillac SRX Vehicles and contains three components: leading, following, and transition. This new model can very helpful to researchers that study freeway operational effects of mixed traffic with ACC vehicles.