Eco-Cooperative Adaptive Cruise Control field test yielded fuel consumption reduction of 37.4 percent and travel time reduction of 8.6 percent.

Field testing of Eco-Cooperative Adaptive Cruise Control on Virginia Smart Road.

January 2017
Virginia Smart Road; Blacksburg; Virginia; United States

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.


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.


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.

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Field Implementation of an Eco-Cooperative Adaptive Cruise Control System at Signalized Intersections

Author: Chen, Hao et al.

Published By: Transportation Research Board

Source Date: January 2017



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Typical Deployment Locations



intelligent cruise control, ICC, ACC, Intelligent Speed Adaptation, ISA, eco-driving, cooperative adaptive cruise control, Eco-CACC, connected vehicles, vehicle-to-vehicle, Virginia Smart Road

Benefit ID: 2018-01260