Eco-driving strategies can reduce CO2 emissions by approximately 10 percent, and decrease CO, NOx, and HC emissions by approximately 30 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 audio and visual eco-driving strategies could reduce around 10 percent of Carbon dioxide (CO2), and over 30 percent of Carbon monoxide (CO), oxides of Nitrogen (NOx), and hydrocarbons(HC) compared to the base case, without the eco-driving behavior suggestions. Furthermore, the trajectories of traveling within the intersection were smoother in eco-driving scenarios compared to the base scenario. However, eco-driving scenarios took more total travel time.

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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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eco-driving, eco-approach and departure at signalized intersections, intersection operations, reducing emissions, environment

Benefit ID: 2018-01237