Environmentally Friendly Driving Feedback Systems Research and Development for Heavy Duty Trucks

Kanok Boriboonsomsin, Alexander Vu and Matthew Barth

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: In this research project, the research team developed an environmentally-friendly driving feedback system for heavy-duty trucks, which was adapted from a similar system previously developed for light-duty cars. The system consists of: 1) Eco-Routing Navigation technology that provides route feedback by determining the most fuel-efficient route for any trip with consideration of historical and real-time traffic, and roadway conditions; 2) Eco-Driving Feedback technology that provides a variety of driving feedback, such as excessive speed warning, aggressive acceleration warning, recommended driving speed, etc., under different driving situations; and 3) Eco-Score and Eco-Rank technology that calculates a set of scores based on how eco-friendly one’s driving is, and generates recommendation feedback for improving the driving performance and the scores. The Eco-Driving Feedback technology was integrated with the state-of-the-art truck driving simulator. A driving scenario that represents a typical freight trip in Southern California was programmed into the simulator and used as a driving course in an experiment with 22 truck driver participants. The results show that the impacts for individual participants are different to varying degrees. On average, the Eco-Driving Feedback technology has no adverse impact on travel time and carbon monoxide emission while reducing fuel consumption, oxides of nitrogen emission, and fine particulate matter emission by 11%, 8%, and 8%, respectively. Based on the promising results from this research project that was conducted in a simulator environment, a follow-on study in a real-world environment is warranted. View the NCST Project Webpage

Keywords: Engineering; Advanced driver information systems; Diesel engine exhaust gases; Ecodriving; Exhaust gases; Feedback control; Freight transportation; Fuel consumption; Heavy duty trucks; Motor vehicle navigational aids (search for similar items in EconPapers)
Date: 2016-03-01
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