Presenter: Shannon Andersen
Authors: Shannon Andersen, Gregory Macfarlane, Grant Schultz
Faculty Advisor: Gregory Macfarlane
Institution: Brigham Young University
The aim of this project was to develop a method of analyzing the speeds and braking patterns of vehicles traveling around curves using Vehicle to Everything (V2X) data. V2X technology allows vehicles to communicate with other vehicles and roadside equipment to improve traffic safety and efficiency. In May of 2019, UDOT partnered with Panasonic to expand V2X technology in the state of Utah. As part of phase two of UDOT’s V2X initiative, UDOT invited academics, researchers, and professionals to perform exploratory analyses on current V2X data collected from UDOT vehicles. The available data is not representative of the general population and therefore cannot be used for meaningful statistical analyses regarding driving behavior in Utah, but it is sufficient for the development of analytical methods. Using RStudio we created a method to translate V2X data onto a road centerline, calculate distances from start of deceleration to the start of the curve, and present color-coded data points on an interactive map. Once representative data is available, this method could be used to determine the optimal locations for warning signs and advance studies in traffic behavior on curved roads.