Assessing Eco-driving Behaviors Using Driving Simulator
Eco-driving is a technology that can reduce fuel consumption and emissions at signalized intersections by using Infrastructure-to-Vehicle (I2V) communication system. In this research, eco-driving behaviors of human drivers and automated vehicle were evaluated based on a driving simulator. To minimize the deceleration or avoid the complete stop at the traffic signals, and to ultimately eliminate unnecessary fuel consumptions, the eco-driving guidance provided drivers with speed profile derived from current velocity, distance to the intersection, and remaining green or red time. A total of 43 drivers participated in the driving simulator-based experiments by following the base case and the eco-driving case. At the first experiment, the results showed that the performance of the eco-driving varied a lot by the individual participants. This was because the participants did not closely follow the eco-guidance. At the second experiment, randomly selected 8 drivers from the first experiment were given more time to become comfortable with the interface before the experiments, as well as incentives to motivate them to follow the eco-guidance interface. The second experiment results showed statistically significant about 5% improvements in fuel consumption and emissions over the base case. When the eco-driving case was compared with an automated vehicle case, the automated vehicle improved fuel consumption and emissions between 18-20% over the human-driven eco-driving case.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Cui, Lian
- Park, Byungkyu Brian
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: 16p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Alternatives analysis; Behavior; Drivers; Driving simulators; Ecodriving; Evaluation and assessment; Fuel conservation; Fuel consumption; Intelligent vehicles; Pollutants; Signalized intersections; Wireless communication systems
- Subject Areas: Energy; Environment; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01626667
- Record Type: Publication
- Report/Paper Numbers: 17-06132
- Files: TRIS, TRB, ATRI
- Created Date: Feb 27 2017 9:25AM