|
Title: Decision Support System for Selecting Highway Safety Manual (HSM) Methods
Accession Number: 01657944
Record Type: Component
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. As agencies have different needs and limitations, a one-size-fits-all approach toward selecting appropriate methods is not often suitable. This paper describes a decision support system that aims to assist agencies tailor 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, robustness of methods, etc. The process is implemented as a web-based application. For each step in the safety management process, the web-based application 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.
Supplemental Notes: This paper was sponsored by TRB committee ANB10 Standing Committee on Transportation Safety Management.
Report/Paper Numbers: 18-00369
Language: English
Authors: Alluri, PriyankaSaha, DibakarGan, AlbertWang, HaifengPagination: 21p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-00369
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:06AM
|