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Abstract:This report presents research performed analyzing crashes in work zones in the state of New Jersey so as to
identify critical areas in work zones susceptible to crashes and key factors that contribute to these crashes. A field
data collection on New Jersey roadways was performed for a select number of work zones to provide a better
understanding of driver behavior in New Jersey work zones. The research also sought to identify where data
needs are limited in evaluating work zone crashes in New Jersey and make recommendations on how the gaps in
these needs can be addressed. Innovative strategies that hold potential for reducing work zone crashes were also
identified.
Crash frequency and crash severity models were developed to identify factors that contribute to number and
severity of crashes in work zones. Negative binomial models were used to estimate: total number of crashes;
frequency of injury crashes; and frequency of property damage only crashes. Binary logistic regression models
were used to estimate severity for crashes where the driver is at fault, for drivers and for occupants in crashes at
work zones. Recommendations on the operation and design of the work zone to reduce crash frequency and
severity are presented based on the findings of the study.
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