Using V2X data to analyze risky driving behaviors: A case study in Tampa, Florida

Keywords: Vehicle-to-Everything (V2X), safety, driving behavior
Session Type: Virtual Paper Abstract
Day: Sunday
Session Start / End Time: 2/27/2022 11:20 AM (Eastern Time (US & Canada)) - 2/27/2022 12:40 PM (Eastern Time (US & Canada))
Room: Virtual 11

Abstract

Massive Big Data derived from Vehicle-to-Everything (V2X) systems provide new opportunities to investigate traffic safety at fine spatial and temporal scales in that driving statuses of individual vehicles can be monitored continuously. However, due to the low penetration rate of V2X technologies, very few studies have been conducted to leverage data from V2X systems to examine risky driving behaviors due to the low penetration rate of V2X technologies. This paper reports a preliminary safety study on driving behaviors using V2X datasets from Tampa Hillsborough Expressway Authority (THEA). These datasets record the driving statuses of V2X-enabled vehicles in February 2021. In this study, we first reconstructed driving trajectories, then identified the risky driving behaviors, and finally analyzed the influences of surrounding vehicles on risky driving behaviors of target vehicles. The results of identification will help scientists and practioners understand factors contributing to risky driving behaviors as well as guide future V2X system design.