Field testing of Eco-Cooperative Adaptive Cruise Control on Virginia Smart Road.
Blacksburg, Virginia, United States
Field Implementation of an Eco-Cooperative Adaptive Cruise Control System at Signalized Intersections
Summary Information
This study developed an Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system that computes and recommends a real-time, fuel-efficient trajectory using vehicle-to-infrastructure (V2I) data.
Methodology
The system was tested on a connected vehicle testbed at the Virginia Smart Road in Blacksburg, Virginia. Four scenarios were tested: a base case uninformed driver, a driver provided with a red indication countdown, a manual Eco-CACC system that the driver follows via an audio recommended speed, and an automated Eco-CACC system that provides longitudinal automated control for a connected and automated vehicle (CAV). Data from 256 trips and four participants were gathered from the field test.
Results
Compared to the uninformed driver, the longitudinally automated Eco-CACC system controlled vehicle reduced fuel consumption by 37.4 percent and travel time by 8.6 percent.
