The study of pavement performance index and smoothness prediction model for highway in Taiwan
| Autor: | Zi-Ping Chiang, 蔣子平 |
|---|---|
| Rok vydání: | 2004 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 92 The objective of this research is to (1) investigate pavement performance indexes, (2) present two pavement roughness prediction models, and (3) develop a pavement performance management database for the requirement of highway in Taiwan. First, we make a flowchart for defining floated threshold of international roughness index (IRI) and pavement condition index (PCI). The rationality of reduce of PCI survey items is discuss. Studies on the asphalt comprehensive pavement performance index method remain limited in Taiwan. In order to characterize pavement performance with a single parameter, we propose to integrate surface distress, roughness, and skid-resistance into a comprehensive pavement performance index. More specifically, we modify the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method by defining a specific feasible solution sets as the benchmark for the aggregate pavement performance index. Comparisons between different performance indexes are then presented. Second, two models are proposed in this research to forecast the roughness of pavement. The first approach is a time-series model (univariate regression method) modified the grey model developed by Deng. Compare this model with the moving average method, the exponential smoothing method, the traditional grey model, and the exponential regression model, it can be shown that this proposed approach generates minimum prediction errors. The second approach is based on the cause-result analysis method (multiple variables linear regression method), where the prediction model is derived by regressing pavement roughness on the thickness of surface layer, the ratio of asphalt layer over sub-grade resilient modulus, and the accumulative equivalent single axle load. These two models are compared with the roughness-deterioration model suggested by HDM-4. Finally, we propose a low-cost vehicle for surveying IRI directly. Auxiliary software based on personal digital assistant is developed for surveying PCI quickly. We also adopt the extreme programming method in the development of a new database called Highway Pavement Performance Management Database (HPPMD). HPPMD is an object-oriented database whose data structure fits into both domestic requirements and international standards. The objective of HPPMS is to provide the highway authorities a decision assistant tool to improve the efficiency and quality of pavement maintenance. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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