Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for
traditional crash frequency models developed in large temporal scales to capture the time-
varying characteristics of these factors, which may cause substantial loss of critical driving
environmental information on crash prediction. Method Crash prediction models with refined
temporal data (hourly records) are developed to characterize the time-varying nature of …