Title: Intelligent Driver Assistance Systems Toward Greener and More Efficient Commercial Vehicles
Abstract: Within the commercial trucking industry, it is a well-known fact that driver bias can cause large variations in the fuel economy of a vehicle. Even when holding the vehicle and the route constant, driver behavior can account for up to 35% variation in fuel economy. This paper investigates a method of powertrain control to improve fuel economy in commercial vehicles by reducing the effects of this driver bias. The method utilizes both historical and predictive information of the route to be driven and the current traffic conditions. Such information could be obtained from on-board sensors, digital maps, vehicle-to-vehicle communication systems, and/or vehicle-to-infrastructure communication systems. In this paper a generic framework for a powertrain control system is first introduced. Simulation results are then presented to illustrate the magnitude of the fuel savings and emissions reduction potential. A sensitivity analysis is also provided, showing how driver and environmental conditions will impact fuel economy benefits. As a conclusion, several practical challenges of the proposed technology are identified, and a new public-private partnership strategy is recommended for future development.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 1
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