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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...
In order to predict the functionality of transportation networks following a seismic event, performance of embankments under real ground motions needs to be well understood. Understanding of such performance can be realized using experimental testing or finite element analysis. This study aims to add...
The highway-rail crossing accident has been long recognized as a priority safety concern for worldwide rail industries and researchers because traffic crashes at highway-rail crossings are often catastrophic with serious consequences, which include fatalities, injuries, extensive property damage, and...
In an attempt to predict these crashes, North Dakota driver licensing data and crash data were used to develop a sample of 20,392 teen drivers age 14 to 17. Within the first year after being licensed, these drivers sustained 317 crashes that resulted in an injury or death. The resulting logistic regression...
The impetus of this research is to meet the growing need for accurate and practical methods to support traffic analysis in work zones. This research examines the application of two classes of traffic analysis models, macroscopic sketch analysis and microscopic traffic simulation, to work zones. The research...
This paper presents preliminary results of the VISUM Online validation. It compares traffic conditions estimated by VISUM Online to measured data. The results show that VISUM Online produces comparable traffic measures.
Voluntary turnover rates among truckload carriers are extremely high, ranging from 50 to more than 100 percent annually. These high turnover rates result in elevated costs for carriers in terms of recruitment and training as well as costs associated with reduced productivity and decreased customer satisfaction...
Fluctuation in temperatures significantly affects pavement stability and the selection of asphalt grading to be used in pavements. Ability to accurately predict the asphalt pavement temperature at different depths and horizontal locations based on ambient air temperatures will greatly help pavement engineers...
The objective of this report is to develop a profile of the U.S. containerized grain and oilseed export industry, including marketing activities, future expectations, information needs, and business practices. This report forms Phase I in a proposed two-phase analysis of the grain container industry....
The feasibility of using the Georgia Loaded-Wheel Tester (GLWT) to predict rutting in the laboratory was investigated in this research. This research was performed in two phases. The first phase consisted of modifying the GLWT to handle 15.2 cm (6 in) cores, developing a laboratory compaction procedure...