United States Department of Transportation
i
Strategic Prioritization and Planning of Multi-Asset Transportation Infrastructure Maintenance, Rehabilitation, and Improvements: Phase 1 – Prioritization Through Optimization
-
2021-12-02
-
[PDF-3.31 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report 03/01/2019 – 05/17/2021
-
Corporate Publisher:
-
Abstract:This project advances technologies to support strategic planning of maintenance, repair, and rehabilitation options (improvement actions) and their implementation prioritization for our nation’s roadway systems. The work takes a multi-asset approach with emphasis on pavements and bridges. It accounts for system-wide traffic impacts of postponed treatments, downtime impacts of construction work zones on traffic performance, and post-action benefits in terms of capacity and speed. It further incorporates uncertainty in system state due to stochasticity in the evolution of deterioration and its underlying physical processes. The technologies enable a deeper understanding of the nature of sensed data and its utility specific to the perception of roadway condition and the ability to detect deteriorated conditions and ascertain relationships between sensed condition and serviceability levels across assets. Performance indices, deterioration rates, and collected data are often significantly different between asset classes. Consequently, maintenance planning tools and managing practices often focus on only one distinct asset class, without integrating other asset types into their analysis, resulting in different asset classes competing for limited funds and suboptimal performance of the larger roadway network. Compatible serviceability assessments of individual asset types, as well as overall system serviceability, are directly supported. This effort provides important tools needed to enhance decision making. Opportunities to integrate these tools into existing software are identified. Phase 2 of the project will extend the work to provide case studies that demonstrate the benefits to enhanced safety, reliability, and durability of these more sophisticated decision-making tools.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
