Exploration of the Relationship between Crash Occurrence and Hourly Volume by Time of Day


Wen Cheng, Mary Haynes


Wen Cheng, Professor of Transportation Engineering, Cal Poly Pomona

The study describes an investigation of the relationship between crash occurrence and hourly volume counts for small samples of highway segments from the State of California. We used a Negative Binomial framework to fit binary regression models for predicting crash occurrence for each of four crash types: (1) single-vehicle, (2) multi-vehicle same direction, (3) multi-vehicle opposite direction, and (4) multi-vehicle intersecting direction, as a function of the hourly volume, segment length, speed limit and pavement width. The results reveal how the relationship between crashes and hourly volume varies by time of day, thus improving the accuracy of crash occurrence predictions. The results show that even accounting for time of day, the disaggregate exposure measure – hourly volume – is indeed non-linear for each of the four crash types. This implies that at any time of day, the crash occurrence is not proportional to the hourly volume. These findings help us to further understand the relationship between crash occurrence and hourly volume, segment length and other risk factors, and facilitate more meaningful comparisons of the safety record of seemingly similar highway locations.

Presented by:


Saturday, November 23, 2013




Poster Session 1 - Villalobos Hall

Presentation Type:

Poster Presentation