Development of Crash Database Parsing Tools to Support the Highway Safety Improvement Program in Texas
The Highway Safety Improvement Program allows for funds to be allocated to safety-related projects on roadways. Given the high need for safety improvements and limited funding, prioritization of safety projects is crucial. To assist transportation agencies in making safety improvement project and resource allocation decisions, a computerized suite of tools has been developed that parses the crash database to identify crash hotspots, suggest potential treatments, and calculate possible safety benefits. To demonstrate the applicability of the tools, a case study was conducted using real data provided by Texas Department of Transportation, Austin District. The results returned a set of 6,174 candidate project recommendations with corresponding most effective treatment. The tool can assist engineers in making more insightful decisions regarding safety projects and allocate the limited budget more effectively and efficiently.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483534
-
Supplemental Notes:
- © 2021 American Society of Civil Engineers.
-
Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Hasan, Manar
- Han, Zhe
- Machemehl, Randy
- Publication Date: 2021
Language
- English
Media Info
- Pagination: pp 297 - 308
- Monograph Title: International Conference on Transportation and Development 2021: Transportation Operations, Technologies, and Safety
Subject/Index Terms
- TRT Terms: Budgeting; Crash data; Databases; Decision making; High risk locations; Highway safety; Real time information; Safety engineering; Transportation departments
- Identifier Terms: Highway Safety Improvement Program
- Geographic Terms: Austin (Texas)
- Subject Areas: Data and Information Technology; Finance; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01777553
- Record Type: Publication
- ISBN: 9780784483534
- Files: TRIS, ASCE
- Created Date: Jul 23 2021 3:26PM