An Analysis of Injury Outcomes of Crashes Involving Large Trucks by Time of Day in Urban Areas in Texas

Document Type

Conference Proceeding

Publication Date

1-2015

Keywords

Highways, Safety and Human Factors, I83: Accidents and the Human Factor, I84: Personal Injuries

Abstract

Mixed logit models were used to analyze injury outcomes of crashes involving large trucks on urban interstate systems in Texas. Split subsets of the Texas crash database – Crash Records Information System were used in this discrete outcome random parameter modeling study to explore the relationship between three different time periods of a day and injury severity by accounting possible unobserved heterogeneity related to human, vehicle, road-environment in the database. Using separate models for each of the five injury levels of a traditional KABCO scale, this study estimated the likelihood of each injury level occurring during AM (6 to 9 AM), PM (4 to 7 PM), and off-peak periods and identified the factors contributing to the different severity levels. Estimated model results indicated that contributing factors are driver demographics, driving behavior, roadway geometrics, traffic characteristics, weather characteristics, temporal characteristics, and crash dynamics. This study highlights these factors that vary according to the time of day, as does injury outcome of crashes.

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Citation / Publisher Attribution

Presented at the Transportation Research Board 94th Annual Meeting on January, 2015 in Washington D.C.

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