The effects of traffic on a performance prediction model /
(Statistical Analysis Software) was used to analyze the
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | (Statistical Analysis Software) was used to analyze the and CALTRANS flexible pavement design guide. PC SAS and counties in the San Francisco Bay Area. The truck factor and percentage trucks were missing from the data and were coefficient of determination. The use of traffic shows no coefficients in the MTC model, linear regression was applied combinations in determining the predicted condition of data. The model did not always converge on a value when derived through standard values from the AASHTO design guide improvement over the current models developed using only age. pavements. The purpose of this study is to develop improved performance prediction models using traffic data from cities The reasons for this are explained in detail in the thesis. then placed in PC SAS. This helped SAS to converge on a This thesis analyzes the use of different age and traffic using a spreadsheet. The bounds of the coefficients were using SAS. To focus on a range of values for the value. The models were compared using the mean square and |
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| Item Description: | "Major subject: Civil Engineering". Vita. |
| Physical Description: | ix, 109 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |