Eco-driving applications for automated vehicles can reduce CO2 emissions by 20 percent, and decrease CO, NOx, and HC emissions by over 60 percent at intersections.

Evaluation of eco-driving strategies to reduce emissions near intersections.

January 2016
Nationwide; United States

Summary Information

Transportation consumes substantial energy and is the second largest source of Carbon dioxide emissions in the United States. Aggressive driving is identified as a main factor contributing to vehicle emissions. Improving the behavior of drivers, especially near intersections, may reduce emissions. Eco-driving may help, eco-driving refers to a range of driving actions, associated with driving behavior and driving habits, that can reduce vehicle emissions and fuel consumption.

This study had three objectives: (1) develop real-time eco-driving algorithms to be used in normal vehicles to advise drivers of their behavior and to be applied in automated vehicles traveling in the vicinity of intersections; (2) examine the most effective eco-driving advising strategies among audio and visual in-vehicle systems at different frequencies for drivers; and (3) evaluate potential emission mitigations of eco-driving strategies for automated vehicles approaching intersections under different traffic conditions.


Two eco-driving models using different audio and visual advising strategies are tested in a driving simulator environment with human participants. The eco-driving model for autonomous vehicles was tested in a VISSIM simulation. The MOVES tool was used to estimate vehicle emissions for all simulations.


Real-time eco-driving suggestions are effective for automated vehicles. Under the same vehicle-to-capacity ratio, automated vehicles can generate less emissions than normal vehicles. The results indicated that eco-driving reduced Carbon dioxide (CO2) emissions by 20 percent, and reduced Carbon monoxide (CO), oxides of Nitrogen (NOx), and hydrocarbons (HC) emissions by over 60 percent.

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Advancing Eco-driving Strategies for Drivers and Automated Vehicles Traveling within Intersection Vicinities

Author: Tang, Peijia

Published By: TranLIVE

Source Date: January 2016



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connected eco-driving, autonomous vehicles, AVs, autonomous eco-driving, intersection eco-driving, eco-approach and departure at signalized intersections

Benefit ID: 2018-01238