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MPC Research Reports
Filter by Keyword5 report(s) found with injury severity in the keywords field 1 - 5 of 5 Motorcycle riders and passengers are much more likely to be killed or severely injured in a crash, and on average, about 15% of all traffic fatalities include motorcyclists. The study uses 12 years of motorcycle crash data (2008–2019) from Wyoming, and eight years of data from Utah (2014–2021) and... This study presents the application of the Highway Safety Manual (HSM) to rural state highways in South Dakota and provides important guidance and empirical results regarding how to calibrate HSM models. Calibration guidelines have been developed to facilitate future calibration activities. The calibration... This research seeks to investigate crash severity predicting models and contributing factor explorations through the application of data mining models. There are 21 variables found to be associated with commercial truck injury severities. The importance analysis indicates the variable relative important... Trucks are a vital part of the logistics system in North Dakota. Recent energy developments have generated exponential growth in the demand for truck services. With increased density of trucks in the traffic mix, it is reasonable to expect some increase in the number of crashes. Analysis shows however... The objective of this research is to investigate the injury severity of truck drivers by studying MV and SV accidents involving trucks on rural highways separately. By using multinomial logit models, the complex interactions between roadway characteristics, driver characteristics, accident characteristics... |
