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TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 295: Statistical Methods in Highway Safety Analysis focus on the type of safety analysis required to support traditional engineering functions, such as the identification of hazardous locations and the development and evaluation of countermeasures. Analyses related specifically to driver and vehicle safety are not covered, but some statistical methods used in these areas are of relevance and are summarized where appropriate.
Cumulation of citations appearing in weekly issues of Highway safety literature.
The book's website (with databases and other support materials) can be accessed here. Praise for the Second Edition: The second edition introduces an especially broad set of statistical methods ... As a lecturer in both transportation and marketing research, I find this book an excellent textbook for advanced undergraduate, Master’s and Ph.D. students, covering topics from simple descriptive statistics to complex Bayesian models. ... It is one of the few books that cover an extensive set of statistical methods needed for data analysis in transportation. The book offers a wealth of examples from the transportation field. —The American Statistician Statistical and Econometric Methods for Transportation Data Analysis, Third Edition offers an expansion over the first and second editions in response to the recent methodological advancements in the fields of econometrics and statistics and to provide an increasing range of examples and corresponding data sets. It describes and illustrates some of the statistical and econometric tools commonly used in transportation data analysis. It provides a wide breadth of examples and case studies, covering applications in various aspects of transportation planning, engineering, safety, and economics. Ample analytical rigor is provided in each chapter so that fundamental concepts and principles are clear and numerous references are provided for those seeking additional technical details and applications. New to the Third Edition Updated references and improved examples throughout. New sections on random parameters linear regression and ordered probability models including the hierarchical ordered probit model. A new section on random parameters models with heterogeneity in the means and variances of parameter estimates. Multiple new sections on correlated random parameters and correlated grouped random parameters in probit, logit and hazard-based models. A new section discussing the practical aspects of random parameters model estimation. A new chapter on Latent Class Models. A new chapter on Bivariate and Multivariate Dependent Variable Models. Statistical and Econometric Methods for Transportation Data Analysis, Third Edition can serve as a textbook for advanced undergraduate, Masters, and Ph.D. students in transportation-related disciplines including engineering, economics, urban and regional planning, and sociology. The book also serves as a technical reference for researchers and practitioners wishing to examine and understand a broad range of statistical and econometric tools required to study transportation problems.
The purpose of this handbook is to collate, in one volume, basic traffic engineering information as a guide to the best practice in the field. It provides a day-to-day source of reference on the principles and proven techniques in the practice of traffic engineering. This fifth edition of the handbook contains the following chapters: (1) Introduction to Traffic Engineering, J.L. Pline; (2) Road Users, R. Dewar; (3) Vehicles, W.D. Glauz and D.W. Harwood; (4) Traffic and Flow Characteristics, M. Kyte and S. Teply; (5) Probability and Statistics for Engineers, S. Washington; (6) Effective Public Involvement, P.B. Noyes; (7) Community Safety, T.S. Bochum and T. Nguyen; (8) Traffic Regulation and Control, K. Kitzpatrick and G. Ullman; (9) Traffic Calming Applications, A.P. O'Brien and R.E. Brindle; (10) Access Management, F.J. Koepke; (11) Geometric Design of Highways, T.R. Neuman and R. Stafford; (12) Traffic Signs and Markings, R.R. Canfield; (13) Traffic Control Signals, R.S. Pusey and G.L. Butzer; (14) Parking and Terminals, W.A. Alroth; (15) Traffic Management, T. Hicks; and (16) Intelligent Transportation Systems, G. Euler.