Long-term Pavement Performance Information Management System Data Users Reference Manual

Long-term Pavement Performance Information Management System Data Users Reference Manual
Author:
Publisher:
Total Pages: 66
Release: 1997
Genre: Pavements
ISBN:

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The Long-Term Pavement Performance Information Management System (LTPP IMS) Data Users Reference Manual contains an overview of the LTPP program and the data available to researchers. LTPP is a 20-year study of pavements to improve design, rehabilitation, and maintenance practices. This document is intended to assist researchers in understanding the data that are currently available for General Pavement Studies Experiments and how to obtain it. The General Pavement Studies are a group of asphalt concrete (AC) and portland cement concrete (PCC) experiments using in-service pavements. In addition to materials test results for the pavement sections, data on pavement history, maintenance, and rehabilitation are stored in the IMS. Information on distress, transverse profile, cross profile, pavement deflection, and traffic is collected on a routine basis and added to the data base regularly. The manual includes information on the quality control process.

Long-Term Pavement Performance Information Management System User Guide

Long-Term Pavement Performance Information Management System User Guide
Author: Gary Eugene Elkins
Publisher:
Total Pages: 224
Release: 2021
Genre: Pavements
ISBN:

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This document provides information to aid in understanding and using the Long-Term Pavement Performance (LTPP) program's Pavement Performance Database (PPDB), LTPP Traffic Analysis Software (LTAS) database, and contents of the Ancillary Information Management System (AIMS) and LTPP InfoPaveTM. This report describes the structure of the LTPP program, the relational structure of the LTPP PPDB, the location of various data elements, contents of data tables, tips on efficient means of manipulating data for specific types of investigations, and information on how to obtain data. This is the final updated version of this report. The LTPP InfoPave website is now the official public data dissemination mechanism for LTPP data. Over the years of updates to this report, contributing authors included Travis Thompson, Amy Simpson, Beth Visintine, and Peter Schmalzer.

Long-term Pavement Performance Ancillary Information Management System (AIMS) Reference Guide

Long-term Pavement Performance Ancillary Information Management System (AIMS) Reference Guide
Author:
Publisher:
Total Pages: 36
Release: 2012
Genre: Long Term Pavement Performance Program (U.S.)
ISBN:

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"This document provides information on the Long-Term Pavement Performance (LTPP) program ancillary information. Ancillary information includes data, images, reference materials, resource documents, and other information that support and extend the data stored in the Pavement Performance Database related to understanding the performance of pavement test sections included in the LTPP program. The primary purpose of this report is to explain the types and nature of the available information. Technical details on electronic formats and storage conventions are also presented." Technical documentation page.

Long-term Pavement Performance Information Management System Researchers Guide

Long-term Pavement Performance Information Management System Researchers Guide
Author:
Publisher:
Total Pages: 27
Release: 1991
Genre: Pavements
ISBN:

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Describes the information management system (IMS) of the Long-Term Pavement Performance Program (LTPP), available LTPP data, and means of access to the data.

LTPP

LTPP
Author:
Publisher:
Total Pages: 16
Release: 1998
Genre: Pavements
ISBN:

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Established as part of the Strategic Highway Research Program (SHRP) and now managed by the Federal Highway Administration (FHWA), the Long Term Pavement Performance (LTPP) program faces a significant challenge. Over the past decade, the LTPP program has developed a solid knowledge base for understanding how pavements perform. Its challenge throughout its second decade is to build on this foundation--to further the understanding of why pavements perform as they do. To address this challenge, FHWA has initiated several efforts that require the support and active participation of the States and Provinces. The intent of this document is to describe the challenge the LTPP program faces and explain the efforts underway to address this challenge. This document is presented in the following sections: Introduction; The Challenge; Addressing the Challenge; Critical Issues; and Future Opportunities.

Long-term Pavement Performance Information Management System

Long-term Pavement Performance Information Management System
Author: William O. Hadley
Publisher:
Total Pages: 92
Release: 1994
Genre: Pavements
ISBN:

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This report describes the information management system within SHRP-LTPP to service the NPPDB and the quality assurance checks that verify the presence, reasonableness, accuracy, and validity of the data prior to incorporation into the NPPDB. The National Pavement Performance Database (NPPDB) houses many types of data including inventory, materials characterization, longitudinal profile, deflection, cross profile, distress, friction, maintenance, rehabilitation, climate, and traffic. The report discusses data types and elements in detail and notes data sources. Equipment and operations of the NPPDB are described, as well as NPPDB products.

Long-Term Performance Program

Long-Term Performance Program
Author: R. G. Hicks
Publisher: ASCE Publications
Total Pages: 168
Release: 2001-01-01
Genre: Technology & Engineering
ISBN: 9780784475010

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Sponsored by the Highway Division of ASCE; Long-Term Performance Program of the Federal Highway Administration. This collection contains papers from the International Contest on LTPP [Long-Term Performance Program] Data Analysis 1998-1999. This competition involved university students in the analysis of data in the LTPP database. Topics include: effect of locked-in curvature on portland cement concrete pavement; evaluation of a pavement performance prediction model using LTPP data; prediction of pavement performance?a neural network approach; and effectiveness of preventative maintenance strategies for asphalt concrete pavements based on LTPP distress data.