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Title: ORNL light-duty vehicles PC system

Abstract

This data system, designed by the Oak Ridge National Laboratory (ORNL) and funded by the US Department of Energy (DOE), monitors information on every light-duty vehicle (automobiles and light-duty trucks) sold in the United States since model year 1976. The data are specified in two days. One way is on a model basis (i.e, engine and transmission combinations) and includes data on city, highway, and combined fuel economies; engine size; drive-train; fuel type (gasoline or diesel); interior volume; body type; and other vehicle attributes. The other way is on a make basis (e.g., Ford Escort, Oldsmobile 98) and includes data on sales; Environmental Protection Agency (EPA) size class; the sales-weighted fuel economy; sales-weighted interior volume; sales-weighted engine displacement (cid); curb weight; and other attributes. A unique identification number is assigned to a specific vehicle category. This identification number contains information on the manufacturer, the location of the manufacturer (domestic or import), and the sponsorship of the vehicle (domestic or import). Fuel economies, model year sales and various vehicle characteristics for every make of the 164 million light-duty vehicles sold in the US since model year 1976 can be obtained from this data system. 2 figs., 4 tabs.

Authors:
;  [1]
  1. (Oak Ridge National Lab., TN (USA))
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (USA)
Sponsoring Org.:
DOE/CE
OSTI Identifier:
5527959
Report Number(s):
CONF-8906150-4
ON: DE89017573
DOE Contract Number:
AC05-84OR21400
Resource Type:
Conference
Resource Relation:
Conference: 3. international conference on microcomputers in transportation, San Francisco, CA (USA), 21-23 Jun 1989
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; AUTOMOBILES; STATISTICAL DATA; ENERGY EFFICIENCY; FUEL CONSUMPTION; IBM COMPUTERS; ORNL; PERSONAL COMPUTERS; STATISTICS; TRUCKS; COMPUTERS; DATA; DIGITAL COMPUTERS; EFFICIENCY; ENERGY CONSUMPTION; INFORMATION; MATHEMATICS; MICROCOMPUTERS; NATIONAL ORGANIZATIONS; NUMERICAL DATA; US AEC; US DOE; US ERDA; US ORGANIZATIONS; VEHICLES; 320203* - Energy Conservation, Consumption, & Utilization- Transportation- Land & Roadway

Citation Formats

Hu, P.S., and Patterson, P.D. ORNL light-duty vehicles PC system. United States: N. p., 1989. Web.
Hu, P.S., & Patterson, P.D. ORNL light-duty vehicles PC system. United States.
Hu, P.S., and Patterson, P.D. Sun . "ORNL light-duty vehicles PC system". United States. doi:.
@article{osti_5527959,
title = {ORNL light-duty vehicles PC system},
author = {Hu, P.S. and Patterson, P.D.},
abstractNote = {This data system, designed by the Oak Ridge National Laboratory (ORNL) and funded by the US Department of Energy (DOE), monitors information on every light-duty vehicle (automobiles and light-duty trucks) sold in the United States since model year 1976. The data are specified in two days. One way is on a model basis (i.e, engine and transmission combinations) and includes data on city, highway, and combined fuel economies; engine size; drive-train; fuel type (gasoline or diesel); interior volume; body type; and other vehicle attributes. The other way is on a make basis (e.g., Ford Escort, Oldsmobile 98) and includes data on sales; Environmental Protection Agency (EPA) size class; the sales-weighted fuel economy; sales-weighted interior volume; sales-weighted engine displacement (cid); curb weight; and other attributes. A unique identification number is assigned to a specific vehicle category. This identification number contains information on the manufacturer, the location of the manufacturer (domestic or import), and the sponsorship of the vehicle (domestic or import). Fuel economies, model year sales and various vehicle characteristics for every make of the 164 million light-duty vehicles sold in the US since model year 1976 can be obtained from this data system. 2 figs., 4 tabs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 1989},
month = {Sun Jan 01 00:00:00 EST 1989}
}

Conference:
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