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Pages 7-12

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From page 7...
... 7 The study of the causes of prior cargo tank truck rollovers established a framework to support the later activities in this project. Given the number of heavy truck rollover crashes expected for the 2007–2009 timeframe, the standard detailedlevel root cause analysis is unfeasible.
From page 8...
... 8was developed to represent operating characteristics (see Table 1)
From page 9...
... 9 Researchers have analyzed 407 PARs against the framework, reviewing both data and narrative fields contained in the reports. The assignment of reports has been overlapped so that the results of each researcher can be compared and reviewed with senior project researchers to ensure consistency of analysis.
From page 10...
... 10 2.3 Summary of Findings from the Root Cause Analysis 2.3.1 PAR Findings Table 4 shows the results from the PAR reviews and indicates which contributing factors are associated with the specific unsafe driver acts across all crash reports. The unsafe acts that are most frequently identified are driving too fast for conditions, illegal maneuvering or improper turning, inadequate evasive action, and poor directional control.
From page 11...
... 11 TIFA data made it possible to analyze multiple- and singlevehicle fatal truck crashes separately and obtain some significant findings. Driver-related factors are much more likely to be associated with single-vehicle fatal truck crashes than they are in multiple-vehicle crashes involving trucks.
From page 12...
... 12 causes at an aggregate level to be obtained, that would allow for valuable lessons to be shared to improve safety across the industry, and that would provide legal protection and ensure confidentiality to those providing the data is likely the most effective solution to root cause identification of driver-related factors in cargo tank truck rollovers. The analysis did show that it might be worthwhile to study one subset of cargo tank truck rollover crashes: those involving single vehicles.

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