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.

Date Posted

03/21/2018

Nationwide, United States

Nationwide,

United States

Identifier

2018-B01241

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

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.

Methodology

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.

Findings

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.