United States Department of Transportation
i
Advancing eco-driving strategies for drivers and automated vehicles traveling within intersection vicinities : final report.
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2016-01-01
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[PDF-3.41 MB]
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Abstract:Vehicle emissions occupy a considerable share of emission inventories in the United States. One of the approaches taken to minimize vehicle emissions is eco-driving. Supported by advanced ITS technologies, it is available to provide the real-time eco-driving advice/suggestions to drivers and to automated vehicles. In order to examine the most effective eco-driving advising strategies for drivers, and evaluate potential emission mitigations of eco-driving for automated vehicles. Real-time eco-driving models for drivers and for automated vehicles were developed respectively. The eco-driving model for drivers was programmed in a high-fidelity driving simulator. Different ecodriving advising strategies with regard to the types (audio vs. visual) and the frequencies of the suggestions were designed and tested by thirty-one driver participants. On the other hand, the eco-driving model for automated vehicles was applied in a VISSIM simulation platform under different traffic conditions. The automated vehicles in the simulation environment could adjust their driving behaviors second-by-second according to the eco-driving model. Finally, the MOVES’ method was used to estimate vehicle emissions for both driving simulator tests and VISSIM simulations. It is found that all of the eco-driving scenarios for drivers are effective in emission reducing. The audio eco-driving strategy with a 10-second interval is the most effective strategy to reduce emissions. However, eco-driving scenario spent more travel time. Meanwhile, real-time eco-driving suggestions for automated vehicles saved 20% CO2. However, vehicle emissions are dependent on traffic condition.
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