Development of a Web-based Decision Making Tool for the Highway Safety Manual Implementation
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2017-04-01
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TRIS Online Accession Number:1644521
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Edition:Final Report, January 2014 - April 2017
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Abstract:The Highway Safety Manual (HSM) provides analytical tools to conduct quantitative safety analyses. Part B of the HSM discusses all six steps in the roadway safety management process (i.e., network screening, diagnosis, countermeasure selection, economic appraisal, project prioritization, and safety effectiveness evaluation). However, for each step, the manual simply discusses different available methods but provides no specific guidance on which methods an agency should use. For example, the HSM discusses 13 performance measures to conduct network screening in terms of data needs, strengths, and limitations, but no specific method is recommended. As agencies have different needs and limitations, a one-size-fits-all approach toward selecting appropriate methods is not often suitable. This project aims toward developing a web-based decision making tool to assist agencies in tailoring the HSM to their local conditions and needs by helping them select the most suitable method(s) among those discussed in the manual. The most appropriate methods are suggested based on several factors that influence an agency’s selection of the suitable methods, including available data, available statistical expertise, reliability of results, method’s robustness, etc. Named the HSM Decision Making Tool (HSM-DMT), the tool uses the decision making process developed as part of this project to suggest the most appropriate method that best meets the agency’s needs, data, available statistical expertise, etc. The tool helps select the best available method for the following steps in the safety management process: Step 1: Network Screening (Performance Measures; Screening Methods); Step 4: Economic Appraisal; Step 6: Safety Effectiveness Evaluation For these steps, the tool includes questions that focus on data requirements, data availability, and each method’s robustness and reliability. Depending on the responses to the questions, the most suitable method(s) are recommended. The tool provides the capability to export the final recommendation(s) as a PDF file.
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