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Title: Using GIS to Integrate Multiple Databases for Development of Urban Safety Performance Functions
Accession Number: 01366540
Record Type: Component
Abstract: The Highway Safety Manual (HSM), published by the American Association of State Highway and Transportation Officials (AASHTO), utilizes Safety Performance Functions to predict the number of collisions for urban and suburban arterials. The HSM has built-in SPFs that are readily usable by engineers for safety related projects such as safety network screening. Applying appropriate SPFs are crucial to obtain an accurate estimate of the predicted number of collisions for a particular network and to allocate the limited resources of the jurisdiction to appropriate locations in order to achieve the greatest benefit. Therefore, the HSM allows for a jurisdiction to develop locally calibrated SPFs, which can then be substituted for the built-in SPFs in the HSM, in order to obtain a more accurate number of predicted collisions. Developing Safety Performance Functions (SPF) based on local data requires the use of collision records, traffic volume data and roadway geometric information. The objectives of this paper are to: 1) use a GIS to integrate three databases into a single spatial database, 2) account for the different levels of quantity and detail between databases, 3) provide jurisdictions with an understanding of the complications that may arise when developing SPFs. This paper discusses the experience and challenges associated with the development of an input database and how the ArcGIS spatial database was manipulated in order to create a suitable database for the generation of SPFs.
Supplemental Notes: This paper was sponsored by TRB committee ABJ20 Statewide Transportation Data and Information Systems
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-1465
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Parisien, JordanCoziahr, ChadEguakun, GeorgePark, Peter YGardiner, AngelaPagination: 17p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Candidate Terms: Identifier Terms: Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I71: Traffic Theory; I80: Accident Studies
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-1465
Files: TRIS, TRB
Created Date: Feb 8 2012 5:02PM
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