2010Transportation Research Board 89th Annual MeetingTransportation Research BoardRequires access

Development of Flexible Pavement Index Based Performance Models for Network Pavement Management System in the State of Louisiana

Mohammad Jamal Khattak, Jared Veazey, Zhongjie Zhang, Said Ismail

Open publisher page 0 citations

Abstract

Accurate prediction of the surface condition of the highway is imperative for the maintenance, rehabilitation and reconstruction activities of the department of transportation. In this regard, the pavement management section of the department plays an important role. The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing pavement management system of the LADOTD. One of the objectives of the study was to evaluate and update the pavement performance models for different pavement types and highway classifications as used by the department. This paper focuses on the development of the pavement prediction models of LADOTD for flexible pavements. The distress data collected over the last 10 years at two years interval was sorted based on pavement type and four highway classifications including: Interstate highway system (IHS), National Highway System (NHS), State highway System (SHS) and Regional Highway System (RHS). The data was sorted and analyzed based on the historical records of the construction/reconstruction year and last resurfacing year. Regression analyses were conducted for each control section of the road, and best-fit functions were obtained. A methodology was also adopted to develop generalized pavement performance models, based on pavement age. These models can assist in assessing the deterioration of overlaid and new flexible pavements. It is believed that improving the pavement performance models will improve the efficiency of the pavement management system (PMS) section of the LADOTD.

About this research paper

What this paper is about

Accurate prediction of the surface condition of the highway is imperative for the maintenance, rehabilitation and reconstruction activities of the department of transportation. In this regard, the pavement management section of the department plays an important role. The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing pavement management system of the LADOTD. One of the objectives of the study was to evaluate and update the pavement performance models for different pavement types and highway classifications as used by the department. This paper focuses on the development of the pavement prediction models of LADOTD for flexible pavements. The distress data collected over the last 10 years at two years interval was sorted based on pavement type and four highway classifications including: Interstate highway system (IHS), National Highway System (NHS), State highway System (SHS) and Regional Highway System (RHS). The data was sorted and analyzed based on the historical records of the construction/reconstruction year and last resurfacing year. Regression analyses were conducted for each control section of the road, and best-fit functions were obtained. A methodology was also adopted to develop generalized pavement performance models, based on pavement age. These models can assist in assessing the deterioration of overlaid and new flexible pavements. It is believed that improving the pavement performance models will improve the efficiency of the pavement management system (PMS) section of the LADOTD.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Accurate prediction of the surface condition of the highway is imperative for the maintenance, rehabilitation and reconstruction activities of the department of transportation. In this regard, the pavement management section of the department plays an important role. The Louisiana Department of Transportation and Development (LADOTD) in conjunction with the Federal Highway Administration initiated a study to evaluate the existing pavement management system of the LADOTD. One of the objectives of the study was to evaluate and update the pavement performance models for different pavement types and highway classifications as used by the department. This paper focuses on the development of the pavement prediction models of LADOTD for flexible pavements. The distress data collected over the last 10 years at two years interval was sorted based on pavement type and four highway classifications including: Interstate highway system (IHS), National Highway System (NHS), State highway System (SHS) and Regional Highway System (RHS). The data was sorted and analyzed based on the historical records of the construction/reconstruction year and last resurfacing year. Regression analyses were conducted for each control section of the road, and best-fit functions were obtained. A methodology was also adopted to develop generalized pavement performance models, based on pavement age. These models can assist in assessing the deterioration of overlaid and new flexible pavements. It is believed that improving the pavement performance models will improve the efficiency of the pavement management system (PMS) section of the LADOTD.

Key concepts: Pavement management, Transport engineering, Highway system, State highway, Pavement engineering, Engineering, Civil engineering, Section (typography)

Related papers

Back to paper searchBrowse research topicsOriginal source
Development of Flexible Pavement Index Based Performance Models for Network Pavement Management System in the State of Louisiana — Research Paper | ScholarLens