Document Library

This brief document outlines the AASHTO CPBM Subcommittee on Asset Management's Strategic Plan for 2011-2015. Colorado DOT scanned their copy for archival purposes. Check out the home of the CPBM Subcommittee on Asset Management for more resources, news, and events: https://www.tam-portal.com/community/cpbm-am/

Standardized walking surfaces that provide information for blind or vision-impaired people, also known as tactile walking surface indicators (TWSIs), were first developed in Japan in the 1960s and have since been applied in both sidewalk and transit station contexts in many countries, including the United States and Canada. Consistency in cues for wayfinding is extremely important for these travelers, especially because they are unable to use many other cues available to travelers with unimpaired vision.

TCRP Research Report 248: Tactile Wayfinding in Transportation Settings for Travelers Who Are Blind or Visually Impaired, Volume 2: Guide, from TRB's Transit Cooperative Research Program, describes the technical specifications for selection, usability, installation, and maintenance of TWSIs in multimodal environments. It has a first volume titled TCRP Research Report 248: Tactile Wayfinding in Transportation Settings for Travelers Who Are Blind or Visually Impaired, Volume 1: Conduct of Research.

This document provides step by step instructions for how to upload documents to the TAM Portal.

A compilation of TAM resources categorized and tagged in an excel sheet. Tagging includes topic area, regulatory implications, resource cost, complexity level, and key words.

Provides an agreed and consistent approach for the valuation and depreciation of infrastructure assets including; roads, water supply, sewerage, storm water, parks and recreation, land drainage, property, cultural and heritage assets. The general principles are also applicable to telecommunications and energy assets. While specifically written to New Zealand conditions and legislative requirements the manual does provide a framework and methodology that is applicable worldwide. The guide was originally published in 2006 and updated in 2025.

The United States is experiencing a persistent road safety crisis. Over the past decade, the fatal crash rate per mile traveled has increased, with the sharpest growth occurring among crashes involving vulnerable road users such as pedestrians and bicyclists. U.S. motor vehicle fatality rates are also significantly higher—three to four times greater—than those in other high-income countries in Europe and Asia.

TRB Special Report 354: Tackling the Road Safety Crisis: Saving Lives Through Research and Action, produced by the Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine, examines the scope and causes of this challenge. The study was conducted in response to a request from the Federal Highway Administration, the American Association of State Highway and Transportation Officials, and the Insurance Institute for Highway Safety.

The report outlines a set of recommendations for the U.S. Department of Transportation, including the development of a coordinated, data-driven national road safety research strategy across federally funded safety programs and stronger mechanisms to translate research findings into practice. It also emphasizes the need for systematic research to validate practitioner guidance and retire outdated or unsupported approaches. To advance these goals and elevate national road safety efforts, the study recommends establishing a National Road Safety Research Center.

The Colorado Department of Transportation’s Resilience Improvement Plan (RIP) outlines the agency’s efforts to proactively manage risks and strengthen the state’s transportation infrastructure against natural and human-made hazards. Rooted in lessons from the 2013 flood disaster, the plan highlights CDOT’s Risk and Resilience Program and its commitment to minimizing disruptions and adapting to changing conditions, including those driven by climate change. It also aligns with national initiatives like the PROTECT program under the Bipartisan Infrastructure Law, integrating resilience into both short- and long-term planning. Through ongoing updates and data-driven strategies, the CDOT RIP serves as a framework for maintaining a safe, reliable, and adaptive transportation system.

The aim of this study is to create a manual that will aid airports in establishing and sustaining a procedure for the handover of asset information. This includes the acceptance of new and replacement physical assets vital to major airport stakeholders. Asset information encompasses, but is not limited to, electronic data, blueprints, and operations and maintenance (O&M) details.

The manual should at least cover the following aspects:

• A list of recommended assets and associated data that airports should keep track of;
• The identification and coordination with individuals and entities that use or provide this asset information;
• Best practices for the oversight and documentation of the asset information handover process;
• Case studies showcasing a variety of airport sizes, types, and levels of experience; and
• A narrative aimed at airport executives, discussing how to implement the asset handover process effectively, including the necessary staff support.

This is a companion document to NCHRP Report 1122: Implementing Machine Learning at State Departments of Transportation.

This report provides an overview of how state Departments of Transportation (DOTs) are meeting federal requirements for annual reporting on their Transportation Asset Management Plans (TAMPs). The study, conducted in September 2024, analyzes consistency reports from multiple states, examining their approaches to reporting on asset inventory and condition, risks, funding, and narrative explanations. It highlights variability in reporting practices, discusses common elements and best practices, and offers insights into potential improvements for future reporting. The report is useful for state DOT officials, federal highway administrators, and anyone involved in transportation asset management and performance reporting.

Over the past two decades, machine learning—the leading branch of artificial intelligence—has risen rapidly on the strength of exploding data volumes, cheaper storage and computation, and continual algorithmic breakthroughs. Deep-learning techniques and generative AI systems such as ChatGPT are now transforming day-to-day business practices. Yet state and local transportation agencies are drowning in new data streams faster than they can translate them into actionable insight. TRB’s NCHRP Research Report 1122, *Implementing Machine Learning at State Departments of Transportation: A Guide*, equips DOTs with a primer on promising ML use cases, tools for weighing costs, benefits, risks, and constraints, and a roadmap for fostering the data-driven culture needed to scale these capabilities across transportation programs.