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This presentation provides an overview of Minnesota DOT's risk-based scenario analysis approach.

The 2040 Maryland Transportation Plan begins with an overview of the state's five regions and transportation trends before addressing the upcoming challenges and needs. To overcome the challenges and surpass the needs, the plan outlines an exhaustive set of performance measures tied to the DOT goals. Finally, the plan describes the implementation plan through numerous objectives, related strategies, and example projects.

Washington State's long range plan innovatively presents the framework for transportation decision-making. It focuses around six policy goals of economic vitality, preservation, safety, mobility, environment and health, and stewardship. WSDOT pays specific attention to the growth and impact of new technologies such as ridesharing, autonomous vehicles, dynamic tolling, and many more.

This document provides an overview of organizational risk management in transportation organizations based mostly on the AASHTO Guide for Enterprise Risk Management (aka The AASHTO ERM Guide) published in 2016. The AASHTO ERM Guide is the result of an international scan, thorough literature review, and subsequent research to develop a document for use by transportation organizations. This report will also provide examples of organizational risk management from other organizations that can be helpful for agencies that are working to increase their organizational risk management maturity.

The Iowa DOT's TAMP provides an overview of Iowa's asset management practices and their plans for future development. Areas of focus include the Iowa DOT financial plan, risk management, investment strategies, and asset management implementation.

Georgia DOT's 2019 TAMP describes Georgia’s current bridge and pavement asset management processes for improving and preserving the condition of the National Highway System. The TAMP includes information on asset inventory and condition, risks, life cycle costs, strategic goals and objectives, and data that report asset performance relative to stakeholder demands. The TAMP is meant to help Georgia DOT allocate transportation funds with responsible stewardship and maximum efficiency.

This report provides practical guidance to transportation agencies to help improve their use of data for performance management. Recent federal legislation has highlighted the importance of data utilization in performance management. The guidance focuses on six areas of the data life-cycle allowing for analysis on decisions and to identify opportunities for improvement. The purpose of this report is to allow for agencies to enhance their insight into their performance and to boost results.

This handbook provides guidance to state DOTs and other agencies applying (or seeking to apply) life-cycle planning (LCP) to their investment decisions. Tailored toward bridge and pavement, the handbook centers around using asset management systems to support TAMP development. It describes in technical terms the nature of the relationship between target setting, performance gap analysis, and performance model development on LCP and vis versa.

This dissertation compares TAMPs across eight departments of transportation and evaluates deterioration models used in those states with other available models.

This plan takes a deep-dive into the current situation of the transportation system, with specialized studies investigating the lasting impact of Hurricane Maria. Then it outlines the territory's goals: system performance, environmentally sustainable development, mobility and access for people and goods, and economic vitality. Following that, it describes the planning process including public involvement and model development, and it presents the funding needs and sources. The central plan includes analysis of several scenarios. It concludes with policy guidelines for different segments of the transportation system.

This fact sheet provides an overview of commonalities between TSMO and asset management and emphasizes the need to maintain the TSMO technology assets as part of asset management.

In this paper, data are harvested from ARAN and combined with a BIM model to created a detailed georeferenced database. Results can be used to create 3D representations of assets' physical and functional characteristics.