Semi-Parametric Modeling of Pavement Marking Visibility Degradation
Details
The core objective of this research is to provide a methodology for obtaining guidance based on empirical evidences on pavement marking replacement times. This dissertation investigates the degradation process of pavement marking visibility over time in the United States using semi-parametric family of duration models. Specifically, a methodological framework to analyze typical pavement making visibility inspection data was formulated. The National Transportation Product Evaluation Program datasets pertaining to water based paints from a total of nine testing locations in the states of Alabama, Pennsylvania, Mississippi, Minnesota, Texas, and Wisconsin were used for the purpose of this investigation. From a methodological standpoint this research suggests that mid-point imputation is reasonable to approximate interval level failure data. Furthermore, the elapsed time model seemed to exploit the empirical pattern of event dependence among multiple marking samples on an experimental deck better than the gap-time model. This suggests that event dependence exists and degradation of the pavement marking visibility is more simultaneous than sequential.
Autorentext
Dr.Sathyanarayanan is an applied methodologist focusing on the application of econometric and bio/statistical methods to the development of analytical systems for transportation engineering and health management. He holds a PhD from Pennsylvania State Univ and is a researcher at the Univ of Michigan, Health Management Research Center, Ann Arbor.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783848435067
- Sprache Englisch
- Auflage Aufl.
- Größe H220mm x B150mm x T9mm
- Jahr 2016
- EAN 9783848435067
- Format Kartonierter Einband
- ISBN 3848435063
- Veröffentlichung 10.06.2016
- Titel Semi-Parametric Modeling of Pavement Marking Visibility Degradation
- Autor Sudhakar Sathyanarayanan , Venkataraman Shankar
- Untertitel Service Life of Pavement Markings
- Gewicht 203g
- Herausgeber LAP Lambert Academic Publishing
- Anzahl Seiten 124
- Genre Management