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Development of Safety Performance Functions For Two-Lane Rural Highways in the State of Ohio

Faden, Abdulrahman Khalid
http://orcid.org/0000-0003-1131-6361
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1591976280554876

Abstract Details

2020, Master of Science (M.S.), University of Dayton, Civil Engineering.
The Highway Safety Manual (HSM), which is the guidance document for state departments of transportation (DOTs), was published in 2010, and one of its sections, called Part C of HSM, it involves the development of crash prediction methods. The goal of the predictive method is to develop and calibrate safety performance functions (SPFs). SPFs are mostly regression models that associate the expected number of crashes quantitatively with traffic exposure and geometric characteristics of the road. However, HSM's default prediction models are not suitable for all states or jurisdictions because each state and jurisdiction have different characteristics, such as terrain, driver behaviors, weather conditions, etc. Hence, the principal objective of this study is to develop a prediction method for producing Ohio-specific SPF models to use for rural two-lane highways in the state of Ohio. This study aims to create jurisdiction-specific SPFs for two-lane rural highway segments as the first study for this type of roadway facility in the state of Ohio. Highway geometric data for almost 40,067 segments that have 21,666.03 miles and 79,481 total crashes that occurred for 4 consecutive years (2012-2015) were obtained from the Highway Safety Information System (HSIS) to create these new models using negative binomial regression and the pruned forward selection method by adding the interaction terms via JMP Pro software. The most critical variables used for analyzing and creating the best models for the state of Ohio are average annual daily traffic (AADT), segment length, lane width, shoulder width, posted speed limit, presence of curves and grades, which were proven to be statistically significant in developing SPFs. Besides, the standard goodness-of-fit parameters were chosen to evaluate the regression models was AIC. Two models were created for rural two-lane, two-way road segments in the state of Ohio, which can be used to predict all crash types and fatal and injury crashes.
Eustace Deogratias, Associate Professor (Advisor)
Appiah-Kubi Philip, Assistant Professor (Committee Member)
Hovey Peter W. , Associate Professor (Committee Member)
107 p.
Civil Engineering; Transportation
Traffic Safety; Safety Performance Functions; Two-lane Rural Highways; Negative Binomial Regression; Crash Severity; The State of Ohio

Recommended Citations

Citations

  • Faden, A. K. (2020). Development of Safety Performance Functions For Two-Lane Rural Highways in the State of Ohio [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1591976280554876

    APA Style (7th edition)

  • Faden, Abdulrahman. Development of Safety Performance Functions For Two-Lane Rural Highways in the State of Ohio. 2020. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1591976280554876.

    MLA Style (8th edition)

  • Faden, Abdulrahman. "Development of Safety Performance Functions For Two-Lane Rural Highways in the State of Ohio." Master's thesis, University of Dayton, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1591976280554876

    Chicago Manual of Style (17th edition)

dayton1591976280554876
323
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This open access ETD is published by University of Dayton and OhioLINK.