Analysis of Louisiana Vehicular Input Data for MOBILE 6.

Wilmot, C. G.; Varanasi, Srinivas; Vadlamani, Srividiya; Louisiana State University (Baton Rouge, La.). Department of Civil and Environmental Engineering

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Analysis of Louisiana Vehicular Input Data for MOBILE 6.

2008-06-01
By Wilmot, C. G. ; Varanasi, Srinivas ; Vadlamani, Srividiya

[PDF-370.15 KB]

English

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Details:

Creators:

Wilmot, C. G. ; Varanasi, Srinivas ; Vadlamani, Srividiya

Wilmot, C. G. ; Varanasi, Srinivas ; Vadlamani, Srividiya Less -
Corporate Creators:

Louisiana State University (Baton Rouge, La.). Department of Civil and Environmental Engineering
Corporate Contributors:

Louisiana Transportation Research Center
Subject/TRT Terms:

[+]

Air Quality Management Air Quality Management--Louisiana--Computer Simulation Automobiles--Motors--Exhaust Gas--Louisiana--Measurement Emissions Testing Exhaust Gases Traffic Estimation Traffic Estimation--Louisiana Traffic Flow Traffic Flow--Louisiana--Measurement Vehicle Miles Of Travel
Publication/ Report Number:

433
Resource Type:

Tech Report
Geographical Coverage:

Louisiana
Edition:

Final report; 2003-2007.
Corporate Publisher:

Louisiana Transportation Research Center
Abstract:

The purpose of this study was to identify sources of data for MOBILE 6 and set procedures to prepare the data in the

format required for use in MOBILE 6. The Environmental Protection Agency (EPA) has provided a comprehensive set of

documents describing proper use of MOBILE 6 and has also provided a full set of default values to assist in operation of the

model. However, the EPA warns that local data should be used wherever possible, and efforts were made in this study to

develop procedures that allow local data to be gathered for use in MOBILE 6.

A proof-of-concept study was conducted on the use of Global Positioning System (GPS) instruments to estimate

vehicle miles traveled (VMT) and soak times. From data of GPS-equipped vehicles in Lexington, Kentucky, gathering

information on VMT and soak times in this manner appears to be feasible, and the results showed that local data is sometimes

considerably different from that portrayed in MOBILE 6 default tables.

Another method of local data collection tested in this study was a method used to estimate VMT from Highway

Performance Monitoring System (HPMS) data without using volume groups. Volume groups are difficult to assign to links

where no traffic count data exist. The method produces less accurate results than the current method (root mean square error

of 1643 vehicles per day overall, versus 543 in the conventional method), but once established, it is easier to apply.
Format:

PDF
Funding:

LTRC project no. 03-2SS
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:d8b8dcf2b9b77bd46b4e7a8dcc6f6d392fde8afca1bfa6cd27ea8252cfcbe3ab
Download URL:

https://rosap.ntl.bts.gov/view/dot/5627/dot_5627_DS1.pdf
File Type:

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Analysis of Louisiana Vehicular Input Data for MOBILE 6.

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