| Title | Analytical methods in multivariate highway safety exposure data estimation |
|---|---|
| Record ID | 33362 |
| Personal Name Creator |
Mengert, Peter; Roberts, Edwin |
| Source | 138p. in various pagings |
| Corporate Creator | John A. Volpe National Transportation Systems Center (U.S.) |
| Publisher | National Center for Statistics and Analysis (U.S.) |
| Publication Date | 19840100 |
| Language | English |
| 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. |
| Rosap ID | dot:5834 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/5834 |
| TRT Terms | Information processing; Multivariate analysis; Highway safety; Traffic crashes; Mathematical models |
| General Subjects | Iterative Proportional Fitting; Log-Linear Modelling; Expectation Maximization; Accident Exposure; Data (Highway); Categorical Data; Discrete Data |
| Classification | NTL - SAFETY AND SECURITY - SAFETY AND SECURITY; NTL - SAFETY AND SECURITY - Human Factors |
| Geographical Coverage |
United States |
| OCLC | 10389688 |
| TRIS Online Accession No |
1173221 |
| Report Number | DOT-HS806-494; DOT-TSC-NHTSA-83-5 |
| Availability | Volpe National Transportation Systems Center, Technical Reference Center |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/33000/33300/33362/33362.pdf |
| Format | |
| Database | NTL Digital Repository |