Effective Experiment Design and Data Analysis in Transportation Research

Effective Experiment Design and Data Analysis in Transportation Research PDF

Author:

Publisher: Transportation Research Board

Published: 2012

Total Pages: 89

ISBN-13: 0309258499

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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.

Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems PDF

Author: Mashrur Chowdhury

Publisher: Elsevier

Published: 2017-04-05

Total Pages: 344

ISBN-13: 0128098511

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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Effective Experiment Design and Data Analysis in Transportation Research

Effective Experiment Design and Data Analysis in Transportation Research PDF

Author:

Publisher:

Published: 2012

Total Pages: 92

ISBN-13: 9780309258494

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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.

Statistical and Econometric Methods for Transportation Data Analysis

Statistical and Econometric Methods for Transportation Data Analysis PDF

Author: Simon Washington

Publisher: CRC Press

Published: 2020-01-30

Total Pages: 395

ISBN-13: 0429534221

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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.

Data Science for Transport

Data Science for Transport PDF

Author: Charles Fox

Publisher: Springer

Published: 2018-02-27

Total Pages: 185

ISBN-13: 3319729535

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The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases. Recent years have seen a new wave of 'big data', 'Data Science', and 'smart cities' changing the world, with the Harvard Business Review describing Data Science as the "sexiest job of the 21st century". Transportation professionals and researchers need to be able to use data and databases in order to establish quantitative, empirical facts, and to validate and challenge their mathematical models, whose axioms have traditionally often been assumed rather than rigorously tested against data. This book takes a highly practical approach to learning about Data Science tools and their application to investigating transport issues. The focus is principally on practical, professional work with real data and tools, including business and ethical issues. "Transport modeling practice was developed in a data poor world, and many of our current techniques and skills are building on that sparsity. In a new data rich world, the required tools are different and the ethical questions around data and privacy are definitely different. I am not sure whether current professionals have these skills; and I am certainly not convinced that our current transport modeling tools will survive in a data rich environment. This is an exciting time to be a data scientist in the transport field. We are trying to get to grips with the opportunities that big data sources offer; but at the same time such data skills need to be fused with an understanding of transport, and of transport modeling. Those with these combined skills can be instrumental at providing better, faster, cheaper data for transport decision- making; and ultimately contribute to innovative, efficient, data driven modeling techniques of the future. It is not surprising that this course, this book, has been authored by the Institute for Transport Studies. To do this well, you need a blend of academic rigor and practical pragmatism. There are few educational or research establishments better equipped to do that than ITS Leeds". - Tom van Vuren, Divisional Director, Mott MacDonald "WSP is proud to be a thought leader in the world of transport modelling, planning and economics, and has a wide range of opportunities for people with skills in these areas. The evidence base and forecasts we deliver to effectively implement strategies and schemes are ever more data and technology focused a trend we have helped shape since the 1970's, but with particular disruption and opportunity in recent years. As a result of these trends, and to suitably skill the next generation of transport modellers, we asked the world-leading Institute for Transport Studies, to boost skills in these areas, and they have responded with a new MSc programme which you too can now study via this book." - Leighton Cardwell, Technical Director, WSP. "From processing and analysing large datasets, to automation of modelling tasks sometimes requiring different software packages to "talk" to each other, to data visualization, SYSTRA employs a range of techniques and tools to provide our clients with deeper insights and effective solutions. This book does an excellent job in giving you the skills to manage, interrogate and analyse databases, and develop powerful presentations. Another important publication from ITS Leeds." - Fitsum Teklu, Associate Director (Modelling & Appraisal) SYSTRA Ltd "Urban planning has relied for decades on statistical and computational practices that have little to do with mainstream data science. Information is still often used as evidence on the impact of new infrastructure even when it hardly contains any valid evidence. This book is an extremely welcome effort to provide young professionals with the skills needed to analyse how cities and transport networks actually work. The book is also highly relevant to anyone who will later want to build digital solutions to optimise urban travel based on emerging data sources". - Yaron Hollander, author of "Transport Modelling for a Complete Beginner"

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

Published: 2010-12-02

Total Pages: 546

ISBN-13: 142008285X

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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.

The Federal Investment in Highway Research 2006-2009

The Federal Investment in Highway Research 2006-2009 PDF

Author: Research and Technology Coordinating Committee (U.S.)

Publisher:

Published: 2008

Total Pages: 184

ISBN-13: 9780309126052

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"TRB Special Report 295, The Federal Investment in Highway Research, 2006-2009: Strengths and Weaknesses assesses how well the investments that Congress made in research programs through the Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users comply with the principles articulated in the preface to the act's research title. The book contains findings and recommendations about specific research programs and calls for reliance on competition and merit review in awarding funds through the Federal Highway Administration and in selecting institutions for the University Transportation Centers program of the Research and Innovative Technology Administration."--Pub. desc.