Analytical methods in multivariate highway safety exposure data estimation

Mengert, Peter; Roberts, Edwin; John A. Volpe National Transportation Systems Center (U.S.)

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Analytical methods in multivariate highway safety exposure data estimation

1984-01-01
By Mengert, Peter ; Roberts, Edwin

[PDF-4.04 MB]

English

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Details:

Creators:

Mengert, Peter ; Roberts, Edwin

Mengert, Peter ; Roberts, Edwin Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Subject/TRT Terms:

[+]

Accident Exposure Categorical Data Data (Highway) Discrete Data Expectation Maximization Highway Safety Information Processing Iterative Proportional Fitting Log-Linear Modelling Mathematical Models Multivariate Analysis Traffic Crashes
Publication/ Report Number:

DOT-HS806-494 ; DOT-TSC-NHTSA-83-5

DOT-HS806-494 ; DOT-TSC-NHTSA-83-5 Less -
Resource Type:

Tech Report
Edition:

Final Report; Oct. 1982-Nov. 1983
Corporate Publisher:

National Center for Statistics and Analysis (U.S.)
Abstract:

Three general analytical techniques which may be of use in

extending, enhancing, and combining highway accident exposure data are

discussed. The techniques are log-linear modelling, iterative propor

tional fitting and the expectation maximization (EM) method. A general

discussion identifies a number of frequently encountered exposure data

deficiences and indicates how one or more of the three analytical tech

niques may be of use in addressing each deficiency. The more

mathematically-oriented sections provide a general introduction to each

of the methods and discuss some of their properties of special interest

in applications. A section illustrating applications to driving exposure data is included, together with computer program listings.
Format:

PDF
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:a82f5a7ba77c5a63031d077d69b6238270f30e502b03ff8d185ea91345217294
Download URL:

https://rosap.ntl.bts.gov/view/dot/5834/dot_5834_DS1.pdf
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Analytical methods in multivariate highway safety exposure data estimation

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