Daniel J. Findley

TL;DR: In this article, the authors characterize collisions reported to be on two-lane road curves in North Carolina using the Highway Safety Information System (HISIS) and provide recommendations from the literature to treat overrepresented collision types on horizontal curves, such as collisions on grades, rural, severe injury or fatal, fixed object (particularly tree, ditch, and embankment), overturn, off peak hours (particularly during darkness on unlighted roads), weekend, holiday periods, and wet, icy, or snowy pavement.

TL;DR: The distances to adjacent curves were found to be a reliable predictor of observed collisions and recommended a model which utilizes spatial considerations for horizontal curve safety prediction in addition to current Highway Safety Manual prediction capabilities using individual curve geometric features.

TL;DR: A technique for identifying transportation-disadvantaged populations, intended for use by local practitioners and designed with their skills and professional routines in mind, was piloted in five rural counties in North Carolina.

TL;DR: In this paper, the authors compare roadside data collected by typical manual methods -on foot and often requiring traffic control - to data collection by manned data collection vehicles moving with traffic, and the results showed that mobile data compared reasonably well to manual data for most of the desired variables.

TL;DR: In this article, three GIS applications were evaluated for performance accuracy on the basis of a comparison with precisely drawn curves [with radii ranging from 30.5 to 60.5.