Download Full eBooks in PDF
Statistical Techniques For Transportation Engineering Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Statistical Techniques For Transportation Engineering book. This book definitely worth reading, it is an incredibly well-written.
Author : Kumar Molugaram,G. Shanker Rao
Publisher : Unknown
Page : 517 pages
File Size : 48,8 Mb
Release : 2015
Category : Transportation engineering
ISBN : 9352300815
Author : Kumar Molugaram,G Shanker Rao
Publisher : Butterworth-Heinemann
Page : 554 pages
File Size : 48,9 Mb
Release : 2017-03-03
Category : Technology & Engineering
ISBN : 9780128116425
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
Author : Clifford Spiegelman,Eun Sug Park,Laurence R. Rilett
Publisher : CRC Press
Page : 360 pages
File Size : 41,8 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439894545
By discussing statistical concepts in the context of transportation planning and operations, Transportation Statistics and Microsimulation provides the necessary background for making informed transportation-related decisions. It explains the why behind standard methods and uses real-world transportation examples and problems to illustrate key conc
Author : Simon Washington,Matthew G. Karlaftis,Fred Mannering,Panagiotis Anastasopoulos
Publisher : CRC Press
Page : 395 pages
File Size : 53,6 Mb
Release : 2020-01-30
Category : Technology & Engineering
ISBN : 9780429534225
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.
Author : Johannes Friedrich Schwar,José Puy-Huarte
Publisher : Literary Licensing, LLC
Page : 132 pages
File Size : 48,6 Mb
Release : 2012-04-01
Category : Electronic
ISBN : 1258285096
Author : Simon P. Washington,Matthew G. Karlaftis,Fred L. Mannering
Publisher : CRC Press
Page : 546 pages
File Size : 55,6 Mb
Release : 2010-12-02
Category : Technology & Engineering
ISBN : 9781420082852
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.
Author : Simon Washington,Fred Mannering,Panagiotis Anastasopoulos
Publisher : CRC Press
Page : 400 pages
File Size : 42,7 Mb
Release : 2020-03-09
Category : Electronic
ISBN : 0367199025
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.
Author : Johannes Friedrich Schwar,José Puy-Huarte
Publisher : Unknown
Page : 288 pages
File Size : 54,7 Mb
Release : 1967
Category : Traffic engineering
ISBN : OCLC:1646327
Author : ITE (Institute of Transportation Engineers),Brian Wolshon,Anurag Pande
Publisher : John Wiley & Sons
Page : 688 pages
File Size : 52,8 Mb
Release : 2016-01-13
Category : Technology & Engineering
ISBN : 9781118762288
Get a complete look into modern traffic engineering solutions Traffic Engineering Handbook, Seventh Edition is a newly revised text that builds upon the reputation as the go-to source of essential traffic engineering solutions that this book has maintained for the past 70 years. The updated content reflects changes in key industry standards, and shines a spotlight on the needs of all users, the design of context-sensitive roadways, and the development of more sustainable transportation solutions. Additionally, this resource features a new organizational structure that promotes a more functionally-driven, multimodal approach to planning, designing, and implementing transportation solutions. A branch of civil engineering, traffic engineering concerns the safe and efficient movement of people and goods along roadways. Traffic flow, road geometry, sidewalks, crosswalks, cycle facilities, shared lane markings, traffic signs, traffic lights, and more—all of these elements must be considered when designing public and private sector transportation solutions. Explore the fundamental concepts of traffic engineering as they relate to operation, design, and management Access updated content that reflects changes in key industry-leading resources, such as the Highway Capacity Manual (HCM), Manual on Uniform Traffic Control Devices (MUTCD), AASSHTO Policy on Geometric Design, Highway Safety Manual (HSM), and Americans with Disabilities Act Understand the current state of the traffic engineering field Leverage revised information that homes in on the key topics most relevant to traffic engineering in today's world, such as context-sensitive roadways and sustainable transportation solutions Traffic Engineering Handbook, Seventh Edition is an essential text for public and private sector transportation practitioners, transportation decision makers, public officials, and even upper-level undergraduate and graduate students who are studying transportation engineering.
Author : Dušan Teodorović,Miloš Nikolić
Publisher : CRC Press
Page : 462 pages
File Size : 53,5 Mb
Release : 2020-08-20
Category : Technology & Engineering
ISBN : 9781000097689
Quantitative Methods in Transportation provides the most useful, simple, and advanced quantitative techniques for solving real-life transportation engineering problems. It aims to help transportation engineers and analysts to predict travel and freight demand, plan new transportation networks, and develop various traffic control strategies that are safer, more cost effective, and greener. Transportation networks can be exceptionally large, and this makes many transportation problems combinatorial, and the challenges are compounded by the stochastic and independent nature of trip-planners decision making. Methods outlined in this book range from linear programming, multi-attribute decision making, data envelopment analysis, probability theory, and simulation to computer techniques such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, and bee colony optimization. The book is supported with problems and has a solutions manual to aid course instructors.
Author : Ming Hung
Publisher : BoD – Books on Demand
Page : 158 pages
File Size : 45,7 Mb
Release : 2016-11-02
Category : Science
ISBN : 9789535127567
Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results.
Author : H. Douglas Robertson,Institute of Transportation Engineers
Publisher : Unknown
Page : 536 pages
File Size : 40,7 Mb
Release : 1994
Category : Technology & Engineering
ISBN : NWU:35556022374029
The primary focus of the manual is on "how to conduct" transportation engineering studies in the field. Each chapter introduces the type of study and describes the methods of data collection, the types of equipment used, the personnel and level of training needed, the amount of data required, the procedures to follow, and the techniques available to reduce and analyze the data. Applications of the collected data or information are discussed only briefly. The focus is on planning the study, preparing for field data collection, executing the data collection plan, and reducing and analyzing of the data. Guidelines for both oral and written presentation of study results are offered.
Author : Michael Faber,Jochen Koehler,Kazuyoshi Nishijima
Publisher : CRC Press
Page : 938 pages
File Size : 43,8 Mb
Release : 2011-07-15
Category : Technology & Engineering
ISBN : 9780203144794
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A
Author : Dušan Teodorović,Miloš Nikolić
Publisher : CRC Press
Page : 377 pages
File Size : 47,9 Mb
Release : 2020-08-20
Category : Technology & Engineering
ISBN : 9781000097702
Quantitative Methods in Transportation provides the most useful, simple, and advanced quantitative techniques for solving real-life transportation engineering problems. It aims to help transportation engineers and analysts to predict travel and freight demand, plan new transportation networks, and develop various traffic control strategies that are safer, more cost effective, and greener. Transportation networks can be exceptionally large, and this makes many transportation problems combinatorial, and the challenges are compounded by the stochastic and independent nature of trip-planners decision making. Methods outlined in this book range from linear programming, multi-attribute decision making, data envelopment analysis, probability theory, and simulation to computer techniques such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, and bee colony optimization. The book is supported with problems and has a solutions manual to aid course instructors.
Author : Anonim
Publisher : Transportation Research Board
Page : 89 pages
File Size : 51,6 Mb
Release : 2012
Category : Experimental design
ISBN : 9780309258494
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.
