Safety Performance Functions (SPFs) in the Highway Safety Manual (HSM) were developed
using historic crash data collected in different states. Because local state or geographic …

Horizontal curves are crucial for the safety and mobility of roadways. To enhance the
understanding of these curves, transportation agencies are investigating methods to …

Estimating horizontal alignment using discretized roadway data points, such as GIS maps, is
complicated because the number of curved and tangent segments and their start and end …

An open-source program was developed to extract horizontal and vertical alignment
information from roadways using public data and open application programming interfaces …

City-wide near-miss data can be beneficial for traffic safety estimation. In this study, we
evaluate urban traffic safety and examine spatial patterns by incorporating city-wide near …

This paper introduces CurvS, a web-based tool for researchers and analysts that
automatically extracts, visualizes, and analyzes roadway horizontal alignment information …

This paper presents a novel approach for extracting horizontal alignment data from
Geographic Information Systems (GIS) centerline shapefiles. Estimating the road horizontal …

This paper introduces an innovative, cost-effective, and efficient method for extracting road
horizontal alignment using GPS data collected from public transit buses. An Artificial Neural …