Development of performance prediction models for utilization in urban pavement management systems
Full text
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| Author(s): |
Luiz Francisco Zerbini
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 1999-06-25 |
| Examining board members: |
Antônio Nélson Rodrigues da Silva;
Edson Martins de Aguiar;
Eliane Viviani
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| Advisor: | José Leomar Fernandes Júnior |
| Abstract | |
This work presents the development of performance prediction models, considering the factors that govern the programming of pavement maintenance and rehabilitation in Brazilian medium-sized cities. A bibliographic revision about Pavement Management Systems and performance models is pointed out. It is shown a case study with sections selected in the urban pavement network of Araraquara-SP, example of Brazilian medium-sized city. Two types of performance prediction models are developed: empirical models, based on statistics analyses of pavement data; and subjective models, based on the development of transition probability matrices from expert opinions. It is investigated the influence of the following factors on the performance of urban pavements: year of construction, functional category, maintenance and rehabilitation activities, traffic, and pavement structure. An expressive influence of the factor maintenance and rehabilitation activities is verified. It is also noticed the necessity of periodic calibration of the performance models. Maintenance of data files with information about the factors that act on the performance of urban pavements, and about frequent evaluations of the pavement condition is suggested. (AU) | |