Author:
Publisher: Transportation Research Board
ISBN: 0309258499
Category : Experimental design
Languages : en
Pages : 89
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.
Effective Experiment Design and Data Analysis in Transportation Research
Report
Author:
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 896
Book Description
Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 896
Book Description
Data Analytics for Intelligent Transportation Systems
Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0443138796
Category : Computers
Languages : en
Pages : 473
Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including 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. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover 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. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Publisher: Elsevier
ISBN: 0443138796
Category : Computers
Languages : en
Pages : 473
Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including 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. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover 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. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Experimental and Quasi-Experimental Designs for Research
Author: Donald T. Campbell
Publisher: Ravenio Books
ISBN:
Category : Psychology
Languages : en
Pages : 172
Book Description
We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.
Publisher: Ravenio Books
ISBN:
Category : Psychology
Languages : en
Pages : 172
Book Description
We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.
Research Basics
Author: James V. Spickard
Publisher: SAGE Publications
ISBN: 1483387232
Category : Social Science
Languages : en
Pages : 610
Book Description
Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.
Publisher: SAGE Publications
ISBN: 1483387232
Category : Social Science
Languages : en
Pages : 610
Book Description
Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.
Statistical and Econometric Methods for Transportation Data Analysis, Second Edition
Author: Simon P. Washington
Publisher: CRC Press
ISBN: 142008285X
Category : Technology & Engineering
Languages : en
Pages : 546
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.
Publisher: CRC Press
ISBN: 142008285X
Category : Technology & Engineering
Languages : en
Pages : 546
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.
Does the Built Environment Influence Physical Activity?
Author: Transportation Research Board
Publisher: Transportation Research Board
ISBN: 0309094984
Category : Business & Economics
Languages : en
Pages : 269
Book Description
TRB Special Report 282: Does the Built Environment Influence Physical Activity? Examining the Evidence reviews the broad trends affecting the relationships among physical activity, health, transportation, and land use; summarizes what is known about these relationships, including the strength and magnitude of any causal connections; examines implications for policy; and recommends priorities for future research.
Publisher: Transportation Research Board
ISBN: 0309094984
Category : Business & Economics
Languages : en
Pages : 269
Book Description
TRB Special Report 282: Does the Built Environment Influence Physical Activity? Examining the Evidence reviews the broad trends affecting the relationships among physical activity, health, transportation, and land use; summarizes what is known about these relationships, including the strength and magnitude of any causal connections; examines implications for policy; and recommends priorities for future research.
The Design and Analysis of Computer Experiments
Author: Thomas J. Santner
Publisher: Springer
ISBN: 1493988476
Category : Mathematics
Languages : en
Pages : 446
Book Description
This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners
Publisher: Springer
ISBN: 1493988476
Category : Mathematics
Languages : en
Pages : 446
Book Description
This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners
A Transportation Research Program for Mitigating and Adapting to Climate Change and Conserving Energy
Author: National Research Council (U.S.). Committee for Study on Transportation Research Programs to Address Energy and Climate Change
Publisher: National Academies Press
ISBN: 9780309142755
Category : Business & Economics
Languages : en
Pages : 184
Book Description
TRB Special Report 299: A Transportation Research Program for Mitigating and Adapting to Climate Change and Conserving Energy suggests that federal, state, and local policy makers need informed guidance about the effectiveness, costs, feasibility, and acceptability of transportation strategies to mitigate transportation greenhouse gas emissions and conserve energy and to adapt to climate change. The report covers strategies affecting travel and mode choice, models and decision tools, infrastructure investment options, and infrastructure construction, operation, and maintenance. The committee that prepared the report recommends beginning a research and development initiative by making a modest investment of 40 million to 45 million annually in the next surface transportation authorization that would be used to develop the best available guidance quickly on the basis of existing information and then begin to improve that guidance over time as new research is completed.
Publisher: National Academies Press
ISBN: 9780309142755
Category : Business & Economics
Languages : en
Pages : 184
Book Description
TRB Special Report 299: A Transportation Research Program for Mitigating and Adapting to Climate Change and Conserving Energy suggests that federal, state, and local policy makers need informed guidance about the effectiveness, costs, feasibility, and acceptability of transportation strategies to mitigate transportation greenhouse gas emissions and conserve energy and to adapt to climate change. The report covers strategies affecting travel and mode choice, models and decision tools, infrastructure investment options, and infrastructure construction, operation, and maintenance. The committee that prepared the report recommends beginning a research and development initiative by making a modest investment of 40 million to 45 million annually in the next surface transportation authorization that would be used to develop the best available guidance quickly on the basis of existing information and then begin to improve that guidance over time as new research is completed.
Single Case Experimental Designs
Author: David H. Barlow
Publisher: Allyn & Bacon
ISBN: 9780205142712
Category : Behavior modification
Languages : en
Pages : 0
Book Description
Publisher: Allyn & Bacon
ISBN: 9780205142712
Category : Behavior modification
Languages : en
Pages : 0
Book Description