Statistical Techniques in the Field of Traffic Engineering and Traffic Research

Statistical Techniques in the Field of Traffic Engineering and Traffic Research PDF Author: Theodore Watson Forbes
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 32

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Statistical Techniques in the Field of Traffic Engineering and Traffic Research

Statistical Techniques in the Field of Traffic Engineering and Traffic Research PDF Author: Theodore Watson Forbes
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 32

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Statistical Methods in Traffic Engineering

Statistical Methods in Traffic Engineering PDF Author: Johannes Friedrich Schwar
Publisher: Literary Licensing, LLC
ISBN: 9781258285098
Category :
Languages : en
Pages : 132

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Statistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering PDF Author: Kumar Molugaram
Publisher: Butterworth-Heinemann
ISBN: 0128116420
Category : Computers
Languages : en
Pages : 555

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Book Description
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges. Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors Teaches how to identify and apply appropriate analysis methods for transportation data Explains how to evaluate transportation proposals and schemes with statistical rigor

Statistical Methods

Statistical Methods PDF Author: Northwestern University (Evanston, Ill.). Traffic Institute
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis PDF Author: Simon Washington
Publisher: CRC Press
ISBN: 0429520751
Category : Technology & Engineering
Languages : en
Pages : 496

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Book Description
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.

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition

Statistical and Econometric Methods for Transportation Data Analysis, Second Edition PDF Author: Simon P. Washington
Publisher: CRC Press
ISBN: 142008285X
Category : Technology & Engineering
Languages : en
Pages : 546

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Book Description
The complexity, diversity, and random nature of transportation problems necessitates a broad analytical toolbox. Describing tools commonly used in the field, Statistical and Econometric Methods for Transportation Data Analysis, Second Edition provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies covering applications in various aspects of transportation planning, engineering, safety, and economics. After a solid refresher on statistical fundamentals, the book focuses on continuous dependent variable models and count and discrete dependent variable models. Along with an entirely new section on other statistical methods, this edition offers a wealth of new material. New to the Second Edition A subsection on Tobit and censored regressions An explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods New chapter that presents logistic regression commonly used to model binary outcomes New chapter on ordered probability models New chapters on random-parameter models and Bayesian statistical modeling New examples and data sets Each chapter clearly presents fundamental concepts and principles and includes numerous references for those seeking additional technical details and applications. To reinforce a practical understanding of the modeling techniques, the data sets used in the text are offered on the book’s CRC Press web page. PowerPoint and Word presentations for each chapter are also available for download.

Statistical Methods in Traffic Engineering

Statistical Methods in Traffic Engineering PDF Author: Johannes Friedrich Schwar
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 288

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Book Description


Examination of the application of statistical methodologies to traffic engineering decision making

Examination of the application of statistical methodologies to traffic engineering decision making PDF Author: Jack Byrd
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 938

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Effective Experiment Design and Data Analysis in Transportation Research

Effective Experiment Design and Data Analysis in Transportation Research PDF Author:
Publisher: Transportation Research Board
ISBN: 0309258499
Category : Experimental design
Languages : en
Pages : 89

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Book Description
This report describes the factors that should be considered in designing experiments and presents 21 typical transportation examples illustrating the experiment design process, including selection of appropriate statistical tests. The examples encompass a wide range of transportation disciplines and statistical methods. This report will be very beneficial to anyone with limited research experience needing to answer a question based on data (e.g., presenting ozone concentrations in a region, determining whether a contractor's quality assurance/quality control procedures are adequate, estimating the effect of automated enforcement on speeds, monitoring trends in the condition of bridge superstructures, developing a user survey to determine the impact of transit fare changes). The report is a companion to NCHRP CD-22, Scientific Approaches to Transportation Research, Volumes 1 and 2, which were developed in NCHRP Project 20-45 and present detailed information on statistical methods.

Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities

Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities PDF Author: Moridpour, Sara
Publisher: IGI Global
ISBN: 1522579443
Category : Technology & Engineering
Languages : en
Pages : 188

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Book Description
Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.