Abstract for presentation (Poster or Podium)
Data Sensing and Analytics
Jialun Xue
Graduate Research Assistant
University of Georgia
Athens, GA, United States
Jialun Xue
Graduate Research Assistant
University of Georgia
Athens, GA, United States
Jidong J. Yang, PhD
Associate Professor
University of Georgia
Athens, GA, United States
Jidong J. Yang, PhD
Associate Professor
University of Georgia
Athens, GA, United States
Jidong J. Yang, PhD
Associate Professor
University of Georgia
Athens, GA, United States
Driver behavior stands as a pivotal determinant in road accidents, intricately interwoven with external factors such as road design, traffic conditions, weather, and socioeconomic variables. A comprehensive understanding of how these elements interact is vital for assessing collision risks and their ensuing consequences. However, probing into driver behavior presents unique challenges. It's profoundly individualistic. Moreover, the concept of anticipation, a critical aspect of driver behavior, remains elusive and difficult to quantify. Despite methodological advancements in crash risk modeling, no existing statistical or econometric model fully addresses these complexities. In response, this study endeavors to bridge this gap by introducing a novel modeling framework. This framework incorporates a latent variable to meticulously capture specific driving behaviors through the explicit modeling of potential contributing factors. The expected outcomes of this research hold the promise of shedding light on the predictability of crash occurrences and their associated consequences, ultimately leading to a better comprehension of road safety dynamics.