NTL Record

Title Stochastic Analysis of Future Vehicle Populations
Record ID 31645
Personal Name
Creator
Golomb, D. Henry; Bunch, Howard M.
Source 112p. in various pagings
Corporate
Contributor
University of Michigan. Highway Safety Research Institute; United States. Department of Transportation. National Highway Traffic Safety Administration; John A. Volpe National Transportation Systems Center (U.S.)
Publisher United States. Department of Transportation. National Highway Traffic Safety Administration
Publication Date 19790500
Language English
Abstract The purpose of this study was to build a stochastic model of future vehicle populations. Such a model can be used to investigate the uncertainties inherent in Future Vehicle Populations. The model, which is called the Future Automobile Population Stochastic Model (FAPS Model), consists of two major components: (1) Model of New Car Sales. The model of new car sales is the model of automobile demand developed by Wharton Econometric Forecasting Associates, revised to incorporate the new vehicle survival model that was developed. (2) A procedure for Specifying Future Planned and Unplanned Events. This procedure, which specifies the Future Values of exogenous parameters of the model, incorporates the uncertainty of these parameters into the model. A computer program of the FPAS Model was written and is documented in the report.
Rosap ID dot:8553
Rosap URL https://rosap.ntl.bts.gov/view/dot/8553
TRT Terms Stochastic programming; Future; Sales; Automobiles; Fuel consumption; Energy conservation; Combustion efficiency; Climate change; Global warming; Greenhouse gases; Exhaust gases; Pollution control
General Subjects Stochastic analysis; FAPS model; Wharton model; Vehicle survival
Classification NTL - ENERGY AND ENVIRONMENT - ENERGY AND ENVIRONMENT;
NTL - ENERGY AND ENVIRONMENT - Alternative Fuels;
NTL - ENERGY AND ENVIRONMENT - Air Quality
Geographical
Coverage
United States
Contract Number DOT-TS-13729
Report Number HS-803-656; UM-HSRI-78-15; DOT-TSC-NHTSA-79-20
Availability Volpe National Transportation Systems Center, Technical Reference Center
Resource type Research Paper
URL https://ntlrepository.blob.core.windows.net/lib/31000/31600/31645/TRISAN00198195.pdf
Format PDF
Database NTL Digital Repository