Statistical Techniques for Transportation Engineering

Statistical Techniques for Transportation Engineering Author Kumar Molugaram
ISBN-10 9780128116425
Release 2017-03-03
Pages 554
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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



Transportation Statistics and Microsimulation

Transportation Statistics and Microsimulation Author Clifford Spiegelman
ISBN-10 9781439894545
Release 2016-04-19
Pages 384
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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 concepts. The Tools and Methods to Solve Transportation Problems Classroom-tested at Texas A&M University, the text covers the statistical techniques most frequently employed by transportation and pavement professionals. To familiarize readers with the underlying theory and equations, it contains problems that can be solved using statistical software. The authors encourage the use of SAS’s JMP package, which enables users to interactively explore and visualize data. Students can buy their own copy of JMP at a reduced price via a postcard in the book. Practical Examples Show How the Methods Are Used in Action Drawing on the authors’ extensive application of statistical techniques in transportation research and teaching, this textbook explicitly defines the underlying assumptions of the techniques and shows how they are used in practice. It presents terms from both a statistical and a transportation perspective, making conversations between transportation professionals and statisticians smoother and more productive.



Statistical and Econometric Methods for Transportation Data Analysis Second Edition

Statistical and Econometric Methods for Transportation Data Analysis  Second Edition Author Simon P. Washington
ISBN-10 9781420082869
Release 2010-12-02
Pages 544
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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.



Statistics in Civil Engineering

Statistics in Civil Engineering Author Andrew V. Metcalfe
ISBN-10 0471194840
Release 1997
Pages 420
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Statistical methods for the civil engineer. Practical examples clearly explain the underlying mathematical concepts. Readers learn to write their own programs and learn about useful commercial software.Offers examples based on real applications. -- Applies statistical techniques to civil engineering practice.



Statistical Methods for QTL Mapping

Statistical Methods for QTL Mapping Author Zehua Chen
ISBN-10 9780415669863
Release 2013-11-01
Pages 308
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While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.



Traffic Engineering Handbook

Traffic Engineering Handbook Author Institute of Transportation Engineers
ISBN-10 NWU:35556036450054
Release 1999
Pages 704
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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.



Transportation Statistics

Transportation Statistics Author Brian W. Sloboda
ISBN-10 9781604270082
Release 2009
Pages 294
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The definitive guide to the very latest methods in transportation statistics - and how to use them effectively.



Statistical Methods in Highway Safety Analysis

Statistical Methods in Highway Safety Analysis Author Bhagwant Naraine Persaud
ISBN-10 NWU:35556033421165
Release 2001
Pages 75
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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.



Traffic Engineering and Control

Traffic Engineering and Control Author
ISBN-10 UOM:39015021807071
Release 1973
Pages
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Traffic Engineering and Control has been writing in one form or another for most of life. You can find so many inspiration from Traffic Engineering and Control also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Traffic Engineering and Control book for free.



Statistics and Probability for Engineering Applications

Statistics and Probability for Engineering Applications Author William DeCoursey
ISBN-10 9780080489759
Release 2003-05-14
Pages 396
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Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job * Contains hundreds of solved problems and case studies, using real data sets * Avoids unnecessary theory



Management techniques for civil engineering construction

Management techniques for civil engineering construction Author K. Rowe
ISBN-10 WISC:89038764510
Release 1975-01
Pages 268
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Management techniques for civil engineering construction has been writing in one form or another for most of life. You can find so many inspiration from Management techniques for civil engineering construction also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Management techniques for civil engineering construction book for free.



Random Seas and Design of Maritime Structures

Random Seas and Design of Maritime Structures Author Yoshimi Goda
ISBN-10 981023256X
Release 2000
Pages 443
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Random waves are the most important constituent of the sea environment. They make the design of maritime structures quite different from that of structures on land. In this book, the concept of randomness in waves for the design of breakwaters, seawalls, and harbor structures is fully explored for easy comprehension by practicing engineers. Theoretical aspects are also discussed in detail for further studies by graduate students and researchers. Several additions have been made to this second edition, including a new chapter on extreme wave statistics.



Statistical Software Engineering

Statistical Software Engineering Author National Research Council
ISBN-10 0309176085
Release 1996-03-15
Pages 84
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This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.



Intelligent and Soft Computing in Infrastructure Systems Engineering

Intelligent and Soft Computing in Infrastructure Systems Engineering Author Kasthurirangan Gopalakrishnan
ISBN-10 9783642045851
Release 2009-11-19
Pages 325
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The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.



Traffic Simulation and Data

Traffic Simulation and Data Author Winnie Daamen
ISBN-10 9781482228700
Release 2014-09-17
Pages 262
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A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project—a European Cost Action project that incorporates work packages defining traffic simulation practice and research; highway and network modeling; and synthesis, dissemination, and training. This book addresses the calibration and validation of traffic models, and introduces necessary frameworks and techniques. It also includes viable methods for sensitivity analyses, and incorporates relevant tools for application. The book begins with a brief summary of various data collection techniques that can be applied to collect different data types. It then showcases various data processing and enhancement techniques for improving the quality of collected data. It also introduces the techniques according to the type of estimation, for example microscopic data enhancement, traffic state estimation, feature extraction and parameter identification techniques, and origin–destination matrix estimation. The material discusses the measures of performance, data error and goodness of fit, and optimization algorithms. It also contains the sensitivity analyses of parameters in traffic models. Describes the various tasks of calibration and validation Considers the best use of available data Presents the sensitivity analysis method Discusses typical issues of data error in transportation system data and how these errors can impact simulation results Details various methodologies for data collection, sensitivity analysis, calibration, and validation Examines benefits that result from the application of these methods Traffic Simulation and Data: Validation Methods and Applications serves as a key resource for transport engineers and planners, researchers, and graduate students in transport engineering and planning.



Statistical Software Engineering

Statistical Software Engineering Author Panel on Statistical Methods in Software Engineering
ISBN-10 9780309588546
Release 1996-03-29
Pages 70
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This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the "big picture," as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production.



Traffic Engineering

Traffic Engineering Author
ISBN-10 UOM:39015024505060
Release 1972
Pages
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Traffic Engineering has been writing in one form or another for most of life. You can find so many inspiration from Traffic Engineering also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Traffic Engineering book for free.