A simulation analysis demonstrated that connected vehicles using intersection SPaT data and Eco-Cooperative Adaptive Cruise Control algorithms to regulate speed profiles can reduce fuel consumption up to 40 percent on signalized arterials.

Eco-Cooperative Adaptive Cruise Control algorithm designed to consider the impacts of queue lengths and vehicle dynamics on fuel consumption.

January 2016
Nationwide,United States

Summary Information

Eco-driving is one strategy to improve fuel efficiency. Eco-cooperative adaptive cruise control (Eco-CACC) systems, a type of eco-driving application, can improve vehicle fuel efficiency by receiving Signal Phasing and Timing (SPaT) data from downstream signalized intersections via vehicle-to-infrastructure (V2I) communication.


An Eco-CACC algorithm providing drivers with advisory speed recommendations based on SPaT data was developed. The algorithm considered the impact of different advisory speed limits and queue lengths on vehicle dynamics and their corresponding fuel consumption levels.


Simulation analysis found that the algorithm can reduce connected vehicle fuel consumption levels by as much as 40 percent, though to yield any benefits the connected vehicle market penetration rate must be at least 30 percent.

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Eco-Cooperative Adaptive Cruise Control at Signalized Intersections Considering Queue Effects

Author: Yang, Hao; Ala, Mani Venkat; and Rakha, Hesham

Published By: Transportation Research Board

Source Date: January 2016


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Typical Deployment Locations

Metropolitan Areas


longitudinal control, integrated corridor management, ICM, decision support system, coordinated incident management, multi-modal traveler information, active arterial routing, coordinated ramp metering

Benefit ID: 2018-01241