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Unlike almost all other engineering disciplines, the practice of transportation engineering is based on the behavior of individual persons. Consequently, the commonly used statistics in transportation have unique characteristics. While typical statistics books are useful, they are not typically developed with civil engineers, let alone transportation engineers, in mind. Based on the authorsa (TM) collaborative educational and research activities over the past ten years, this book focuses on statistics used in the transportation industry. Through examples, it explores the issues behind many of the most popular techniques. The text also includes computer code for solving problems.
Clifford Spiegelman is a distinguished professor of statistics at Texas A&M University, where he has been for twenty-three years. Dr. Spiegelman is also a senior research scientist at the Texas Transportation Institute. Eun Sug Park is a research scientist at the Texas Transportation Institute. Dr. Park was a recipient of the TRB Pedestrian Committee Outstanding Paper Award (2006 and 2009) and the Patricia Waller Award (2009). Laurence R. Rilett is a distinguished professor of civil engineering at the University of Nebraska-Lincoln. He also is the director of both the U.S. Department of Transportation's Region VII University Transportation Center and the Nebraska Transportation Center.
Overview: The Role of Statistics in Transportation Engineering. Graphical Methods for Displaying Data. Numerical Summary Measures. Probability and Random Variables. Common Probability Distributions. Sampling Distributions. Inferences: Hypothesis Testing and Interval Estimation. Other Inferential Procedures: ANOVA and Distribution-Free Tests. Inferences Concerning Categorical Data. Linear Regression. Regression Models for Count Data. Experimental Design. Cross-Validation, Jackknife, and Bootstrap Methods for Obtaining Standard Errors. Bayesian Approaches to Transportation Data Analysis. Microsimulation. Appendix.
