Document Library

This presentation outlines the progress that has been made on the development of an investment planning tool for Intelligent Transportation System (ITS) assets. This tool will help agencies understand their future investment needs while providing customization based upon agency preferences. The system will give annual costs, 10 year investment levels, and annual investments.

This presentation given at the 11th National Conference on Transportation Asset Management focuses on prioritization of projects. The presentation notes the MAP-21 requirements for transit agencies and how the use of programs such as TERM Lite enables them to meet the requirements.

This presentation was given during the Roundtable Discussion of Innovation at the 11th National Conference on Transportation Asset Management. The Trapeze State of Good Repair tool introduced in this presentation uses three support methods– age based decay curves, physical condition inspections, and performance based condition scores– to track the state of assets.

This presentation focuses on the Metropolitan Transportation Commission's use of TERM Lite a long-range capital projection tool. The 46 parameters and 58 possible scenarios enables the MTC to run many scenarios for higher quality analysis. However, the system requires intense data management.

This presentation by Sharon Okoye of CTDOT and Bill Roberts of Spy Pond Partners presents an outline of CT Transit's assets and practices and then notes the most significant gaps in asset management practices at CT Transit. Most notably, CT Transit has gaps in its inventory and condition data and also lacks a clear asset hierarchy. It concludes with a set of draft tasks for CT Transit.

This presentation was given by Jerauld Oxsen at the 11th National Conference on Transportation Asset Management. The main focus of this presentation is to outline the challenge of data collection during turnover periods and presents a possible way to handle it. The presentation uses the Bay Area Rapid Transit Silicon Valley Extension (SVBX) as its example.

Prepared by Kartik Manda of Applied Pavement Technology, this presentation was part of the "How to Manage Your Assets" session of the 11th National Conference on Transportation Asset Management. Mr. Manda's primary focus was to develop a set of guidelines for data collection and processing. These guidelines include 4 steps– preparing for methodology selection, methodology selection, collecting the data, and data processing and management.

This presentation regarding transportation data management and integration was given at the 11th National Conference on Transportation Asset Management. It primarily concerns the WYDOT effort to increase use of data driven decision making to win HSIP funding in order to increase safety and reduce the number of critical crashes per year per district.

This presentation focuses on pavement management and maintenance prioritization at the Seattle Department of Transportation (SDOT). This includes all aspects from data collection to methods for budgeting evaluation (e.g. benefit/cost ratios). It also outlines the next steps for SDOT including adding traffic volume to analysis techniques.

This presentation explains the Metropolitan Transportation Commission's (MTC) effort to improve its pavement management system. It seeks to first improve its data quality and consistency through a Data Quality Management Plan that will provide pavement engineers with adequate training and skills to more thoroughly analyze pavement conditions. It outlines the process for the certification of these engineers.

This presentation is a summary of the Interstate Condition Project overseen by Amec, Foster, Wheeler. It begins by giving background on MAP-21 and the Interstate Condition Project. It then analyzes the collected data using a variety of methods. Finally, it summarizes the findings, weighing their merit and what information it accurately portrays.

This presentation analyzes the effect of climate change on pavement life cycle costs. It begins with an overview of our changing climate–the motivation for this study–and then transitions into the methods used for the study. The study used a number of programs and data collection methods to aid in its predictions. As a result, it found that climate change accelerates deterioration and will increase life-cycle costs.