Iowa Pavement Analysis Techniques (IPAT) Tool
-
2021-06-01
-
Details
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:User Guide
-
Corporate Publisher:
-
Abstract:Recent federal legislation requires state highway agencies (SHAs) and local road agencies to utilize performance-based approaches in their pavement management decision-making processes. The use of a remaining service life (RSL) model would be one such performance-based approach that could facilitate the pavement management decision-making process. This study developed a Microsoft Excel macro and Visual Basic for Applications (VBA)-based Iowa Pavement Analysis Techniques (IPAT) automation tool that Iowa county engineers can use to estimate the project- and network-level pavement performance and RSL. To address this aim, statistics and artificial neural network (ANN)-based pavement performance and RSL models were developed using pavement structural features, traffic, construction history, and pavement performance records obtained from the Iowa Department of Transportation (DOT) Pavement Management Information System (PMIS) and the Iowa county agencies’ database. The accuracy of the models was evaluated using the real database representing Iowa county pavement systems. The IPAT tool provides a series of options for four pavement types representing Iowa county pavement systems—jointed plain concrete pavement (JPCP), asphalt concrete (AC) pavement, AC over JPCP, and portland cement concrete (PCC) overlay—to estimate RSL through different approaches based on various conditions and distress data availability from an individual county. The IPAT tool is expected to be used as part of performance-based pavement management strategies and to significantly help decision-makers facilitating maintenance and rehabilitation decisions for better prioritization and allocation of resources.
-
Format:
-
Collection(s):
-
Main Document Checksum:urn:sha-512:afc21ae95153586e6c82a181c778d1cdad9381fe407483f7331e755a8b5bc2b5ca196492a62fa481341bf10863d4092d3634bf6fb4afb03a184c6e0e4dbdbe4e
-
Download URL:
-
File Type: