2011
DOI: 10.2172/1007342
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FedEx Express Gasoline Hybrid Electric Delivery Truck Evaluation: 12-Month Report

Abstract: The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Executive Services and Communications Directorate (… Show more

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Cited by 19 publications
(15 citation statements)
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“…For example, average and maximum velocities, acceleration rates, and grades, as well as location, kinetic intensity, temperature, road conditions, and many more. Average driving speed can be used to quantify driving cycles [11] and does not include the time spent stationary since this time does not significantly contribute to the energy consumption.…”
Section: Quantification Of Drive Cyclesmentioning
confidence: 99%
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“…For example, average and maximum velocities, acceleration rates, and grades, as well as location, kinetic intensity, temperature, road conditions, and many more. Average driving speed can be used to quantify driving cycles [11] and does not include the time spent stationary since this time does not significantly contribute to the energy consumption.…”
Section: Quantification Of Drive Cyclesmentioning
confidence: 99%
“…Delivery trucks meet this profile [11]. Furthermore, the traditional system does not need to be altered significantly since the new system is created by the introduction of a DC-DC converter.…”
Section: Phasementioning
confidence: 99%
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“…The light-duty data set was drawn from a collection of unknown light-duty vehicles [21] instrumented with GeoStats GeoLoggers as part of the year 2000 Southern California Association of Governments post-census regional travel survey, while the heavy-duty data set was drawn from class 3 to class 8 heavy-duty vehicle data collected from 2008 to present [7,22,23]. The GPS data for the heavy-duty data set was collected using a combination of GeoStats GeoLoggers and Isaac Instruments DRU908 and DRU900 data acquisition devices.…”
Section: Gps Data Collectionmentioning
confidence: 99%