EGMT 515: Infrastructure Systems and Performance Evaluation: Data Sites - Transportation related
Transportation Asset Management:
Transportation Asset Management relies heavily on highly organized and integrated data to support informed and comprehensive decision-making. Data integration is vital to Asset Management because it weaves together information needed to make strategic decisions across asset types, provides quick and convenient access to data, improves quality and comprehensiveness of data, promotes consistency and reduces cost of data collection, storage and processing, and improves existing stovepipe and legacy infrastructure management systems to better serve agency needs.
For more than 80 years, growth in highway travel in the United States has exceeded the growth of the public roadway network. Over time, this divergence has resulted in increasing traffic congestion, travel time delays, and infrastructure deterioration, which have in turn generated a range of responses by both providers and users of the nation's highways. Despite these efforts, the nation's motorists and the trucking industry continue to experience ongoing reductions in roadway performance, increasing travel times, and lost productivity. In response, state highway departments (departments of transportation), county governments, and local agencies continually seek new ways to address ongoing growth in highway travel demand.
(Source: U. Department of Transportation, Federal Highway Administration, Asset Management Publications)
Highway Statistics, 2008
The data collected and published in the annual Highway Statistics is used by all levels of government and the public to assess the performance of the Nation's highway transportation system as well as identify future highway system options. The data are extensively used by various agencies of the Federal, State, and local governments, institutions of higher learning, industry, consultants, professional organizations, and the public for a host of purposes. Data are used for assessing highway system performance under FHWA's strategic planning and performance reporting process developed in accordance with requirements of the Government Performance and Results Act (GPRA) and for apportioning Federal-aid highway funds under Federal legislation.
GIS in Transportation
For several decades, FHWA has recognized GIS as a tool that can integrate information from different sources and enable better and more efficient decisionmaking. In the early 1990s, GIS was used in the development of the National Highway Planning Network (NHPN), a network database of the nation's major highway system, which is currently being used to maintain the National Highway System (NHS) and the Strategic Highway Network (STRAHNET). Around the same time, existing FHWA databases, such as the Highway Performance Monitoring System (HPMS) and the National Bridge Inventory (NBI) , were modified so that they could be "joined" (or linked) to the spatial data in the NHPN. This functionality enables visual display of these data. In simple terms, this means that instead of viewing the data in tabular form (e.g., in a spreadsheet), users can instead make maps to display the data spatially and observe geographic patterns. In addition, users can view particular data items within databases to customize visual display for particular uses. Examples of uses for the NHPN system include viewing traffic volumes or pavement condition on a particular highway or mapping bridges with low clearances in a given state or county.
See also: GIS in Transportation webcasts
The purpose of the Quarterly GIS Webcast is to promote the use of GIS for improved decision-making in transportation planning by cultivating a community of GIS practitioners who can share their knowledge, experiences, and advice.
GIS-Based Model for Highway Noise Analysis
In this paper, a GIS-based model for identifying highway segments for noise barrier installation is developed that uses TNM for noise level prediction. The method can automatically detect highway segments where installation of noise barriers may be warranted. In addition, the method also calculates effective length of noise barriers to be installed. An example is performed using Maryland's GIS database to demonstrate the capability of the proposed model. The proposed model can also work with highway alignment optimization models by identifying segments with unacceptable noise levels.
Read the full paper: GIS-Based Model for Highway Noise Analysis