01717157

Component

https://doi.org/10.1177/0361198119853559

The Fixing America’s Surface Transportation Act (FAST Act) mandates a Highway Safety Improvement Program (HSIP) for all states that “emphasizes a data-driven, strategic approach to improving highway safety on all public roads that focuses on performance.” To determine the predicted crashes on a specific roadway facility, the most convenient and widely used tool is the first edition of Highway Safety Manual (HSM), which provides predictive models [known as safety performance functions (SPFs)] of crash frequencies for different roadways. Low-volume roads (LVRs) are defined as roads located in rural or suburban areas with daily traffic volumes of less than or equal to 400 vehicles per day (vpd). LVRs cover a significant portion of the roadways in the U.S. While much work has been done to develop SPFs for high-volume roads, less effort has been devoted to LVR safety issues. This study used 2013–2017 traffic count, and roadway network and crash data from North Carolina to develop six SPFs for three LVRs, which can be used to predict total crashes, as well as fatal and injury crashes. This study also performed a sensitivity analysis to show the influence of traffic volumes on expected crash frequencies. The SPFs developed in this study can provide guidance to state and local agencies with the means to quantify safety impacts on LVR networks.

The Standing Committee on Low-Volume Roads (AFB30) peer-reviewed this paper (19-06206). © National Academy of Sciences: Transportation Research Board 2019.

English

pp 798-810

2019-12

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures; References (28) ; Tables

Crash data; Crash risk forecasting; Highway safety; Low volume roads; Sensitivity analysis; Traffic counts; Traffic volume

Safety Performance Functions

North Carolina

Highways; Planning and Forecasting; Safety and Human Factors

TRIS, TRB, ATRI

Sep 16 2019 3:02PM