作者
Amin Mohammadnazara, Iman Mahdinia, Numan Ahmad, Asad J. Khattak, Jun Liu
发表日期
2021
期刊
Accident Analysis & Prevention
卷号
106146
期号
0001-4575
出版商
https://doi.org/10.1016/j.aap.2021.10614 (https://www.sciencedirect.com/science/article/pii/S0001457521001779)
简介
Safety Performance Functions (SPFs) are critical tools in the management of highway safety projects. SPFs are used to predict the average number of crashes per year at a location, such as a road segment or an intersection. The Highway Safety Manual (HSM) provides default safety performance functions (SPFs), but it is recommended that states in the U.S. develop jurisdiction-specific SPFs using local crash data. To do this for the state of Tennessee, crash and road inventory data were integrated for multi-lane rural highway segments for the years 2013−2017. In addition to developing SPFs similar to those contained in the HSM, this study applied a new methodology to capture variation in crashes in both space and time. Specifically, Geographically and Temporally Weighted Regression (GTWR) models for the localization of SPFs were developed. The new methodology incorporates temporal aspects of crashes in …
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