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Research Reports
Filter by Keyword6 report(s) found with truck crashes in the keywords field 1 - 6 of 6 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... Crashes of heavy trucks with bridge columns are random events with low probability of occurrence. In spite of the low odds, previous collision events have resulted in catastrophic partial or full collapse of bridges. AASHTO-LRFD Bridge Design Specifications requires bridge columns to be designed for... 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... This report summarizes the work performed during the second phase of a two-phase research project. The first phase focused on two main areas: freight safety and wind vulnerability, and the identification of critical infrastructure. Phase I also tackled another major but less defined task in bringing... 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... The North Dakota legislature recently passed a law to exempt the state's agricultural truck fleet from a requirement for rear-guard equipment as federally mandated large trucks. This analysis presents the public safety benefit-cost assessment of the device in terms of crash injury severity associated... |
