Influence of Traffic Parameters on the Spatial Distribution of Crashes on a Freeway to Increase Safety

Significant research has been conducted in recent years to determine crash hotspots. This study focused on the effects of various traffic parameters, including average speed and volume, spatial distributions freeway crashes. Specifically, this analyzed crashes Qazvin–Abyek Iran using four-year records. Spatial clustering analysis was performed identify hotspots high cluster segments global Moran’s I, local Getis-Ord Gi*. The I indicated that clusters were formed under low range hourly volume (less than 1107 veh/h) (more 97 km/h), which increased number heavy vehicle early morning (time 03–06) around 52 km segment. results obtained from kernel density estimation (KDE), Gi* revealed similar further showed different for volumes, speed, times, there hotspot migration by applying conditions. These findings can be used high-risk conditions managers help them make best decisions enhance road safety.