Document Library

This webinar focused on chapter 8 of the AASHTO Transportation Asset Management Guide. The focus of this chapter is on Transportation Asset Management Information Systems, and types of data that support TAM planning. Includes case studies of Nevada and Wyoming. Presented in Webinar: The Transportation Asset Management Book Club.

This webinar focused on chapter 7 of the AASHTO Transportation Asset Management Guide. The focus of this chapter is on achieving TAM Integration, and long term financial sustainability. Includes a case study of UT DOT. Presented in Webinar: The Transportation Asset Management Book Club.

Enabling Processes and Tools for Service Planning. This webinar focused on chapter 5 of the AASHTO Transportation Asset Management Guide. The focus of this chapter is on the processes, tools, systems, and data needed to support transportation asset management (TAM), as well as support safety and build capacity. Presented in Webinar: The Transportation Asset Management Book Club.

Presentations on geotechnical assets, database development, and risk management. Presentations include case studies on California and Oregon TAM, focus on: corridors,rockfalls, retaining walls, ditches and culverts.

This webinar focused on chapter 6 of the AASHTO Transportation Asset Management Guide. The focus of this chapter is on asset inventory, asset life-cycle, models, and maintenance planning, with case studies presented on Vermont and Oregon DOTs. Presented in Webinar: The Transportation Asset Management Book Club.

Presentations on Geotechnical Assets and their rols in improving performance, Risk-based analysis, and Priority planning and programming.

The Virginia Tech Transportation Institute (VTTI) in conjunction with the Virginia Transportation Research Council (VTRC) and the Virginia Department of Transportation (VDOT) are studying the area of Asset Management data collection. The goals are to document the existing state-of-the-practice and to investigate the relations between data collection and supported decision processes. The investigation focus is on the data needed for the selection of projects for funding and implementation.

This webinar focused on chapter 3 of the AASHTO Transportation Asset Management Guide. The focus of this chapter is on the 5 steps needed to align the organization to support asset management and to build support: Develop the change strategy; Integrate TAM into agency culture; Integrate TAM into business process; Establish asset management roles; Use performance measures to guide decision making. Presentations by the New Jersey and Washington DOT agencies illustrate the first 4 steps; A presentation of Missouri’s case study focuses on performance management standards. Presented in Webinar: The Transportation Asset Management Book Club.

Transportation Asset Management is the standard of practice for state DOTs and others to manage the nation's physical transportation assets to optimize investment decisions. Transportation Asset Management is a strategic and systematic process of operating, maintaining, upgrading, and expanding physical assets effectively throughout their lifecycle. It focuses on business and engineering practices for resource allocation and utilization, with the objective of better decision making based upon quality information and well-defined objectives.

This webinar gave an overview of the AASHTO Transportation Asset Management Guide. Discussion includes: Setting the Direction; Aligning the Organization; and Developing the TAMP. Processes and Tools are described, and speakers present a case study of New Zealand's TAM efforts. Presented in Webinar: The Transportation Asset Management Book Club.

A report on the investigation of longitudinal pavement marking retroreflectivity and its impact on safety.

"An effective pavement management system depends on reliable, accurate, and complete information. Having quality pavement management data is directly linked to the ability of the pavement management system to contribute to the development of reasonable and reliable recommendations and decisions regarding an agency’s pavement network. Pavement condition data are one of the key components of a pavement management system. Pavement condition data are used to model pavement performance, to trigger various actions ranging from maintenance to rehabilitation to reconstruction, to evaluate program effectiveness, and to satisfy many other purposes. While there are many different methodologies used for assessing pavement condition, ranging from manual surveys to fully automated procedures, the need for quality data remains the same. Agencies take a number of steps to ensure and verify data quality, including calibration of the data collection equipment or the inspection teams, incorporating quality control sections that are reinspected to assess repeatability, and verifying reasonableness and completeness of the pavement condition survey. The ability to evaluate and determine the quality of pavement condition data is essential for establishing the accuracy and reliability of analyses made using pavement condition. The Federal Highway Administration (FHWA) sponsored the development of a Practical Guide on Quality Management Procedures for network-level pavement condition data. The Practical Guide provides information related to the development and implementation of a QM program, incorporating proven QM practices, and showcasing examples or case studies using pavement condition data from a variety of state DOTs."