摘要: |
Transportation asset management plans (TAMPs) are important tools for tracking the performance of key assets over time, predicting the life-cycle costs of these assets, and calculating the risks that may be presented when an asset fails to perform as intended. As such, the data within TAMPs are important inputs to federally mandated performance management including calculations of travel time reliability, air quality, and congestion management performance measures. Additionally, TAMPs are integral inputs to capital funding decision-making.
Since the early adoption of transportation asset management (TAM) practices and the related performance rulemaking, state departments of transportation (DOTs) have sought to add assets beyond pavements and bridges to their risk-based TAMPs. The rapid evolution of intelligent transportation systems (ITS) has introduced a wide array of technical assets into transportation systems management and operations (TSMO). These assets have become critical components in managing the transportation network including communications and security technology, sensors, cameras, and other ITS technologies. As such, the function and condition of these assets directly impact the performance of other network physical infrastructure assets such as bridges and pavement. Therefore, there is a need to integrate these assets into TAMPs as an important means of managing these systems and ensuring a good state of operation.
One of the principle challenges in integrating TSMO into TAM is identifying and quantifying the condition of individual TSMO-related assets and measuring the assets against intended performance outcomes. These assets may include software, computer networks, communications, and hardware such as inductive loops and cameras used for detecting vehicles and travelers and variable message signs (VMS) used to communicate directly with travelers. These assets may fail suddenly or through functional obsolescence rather than by gradual deterioration in their physical condition (as is typical for highways and bridges). Furthermore, while the effective operation of these technical assets as systems directly affects the operational performance of transportation hardscape such highways and bridges, quantifying the physical condition of individual ITS assets is more complex than for bridges and pavement.
To better manage, operate, plan, and invest in TSMO-related assets, state DOTs and local agencies need direction on how to effectively integrate these assets into asset management processes and plans.
The objective of this research is to develop a guide for state DOTs and other agencies on the integration of TSMO assets into TAMP processes and plans. The research should identify the anticipated (measurable) benefits of TSMO and TAM integration and provide practical instruction on the application of proven and emerging methods, policies, and processes for identifying and integrating appropriate TSMO assets into TAM processes.
The guide developed shall include appropriate tools, techniques, and applications with clear instructions on how to use them. The guide shall at a minimum provide instructions on how to address the following practical needs:
(1) Evaluate, document, and communicate the benefits of TSMO integration with TAM;
(2) Identify specific TSMO assets appropriate for integration into TAM analyses and planning documents;
(3) Assess the physical condition and functional performance of TSMO system components;
(4) Measure and consider life cycle costs and conditions of TSMO in TAM processes and products;
(5) Support investment decisions in TSMO assets; and
(6) Modify enterprise business processes and identify the resources needed to integrate TSMO assets into TAM practices.
Documentation of the research approach and instruction on the application of the proposed products by state DOTs is expected. |