On Estimating Origin-destination Matrices from Traffic Data
Author: Canadian Transportation Research Forum
Publisher:
Published: 1978
Total Pages:
ISBN-13:
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Author: Canadian Transportation Research Forum
Publisher:
Published: 1978
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Dietmar Bosserhoff
Publisher:
Published: 1986
Total Pages: 68
ISBN-13:
DOWNLOAD EBOOKUse of San Francisco Bay Area Rapid Transit District passenger count data to estimate origin-destination matrices.
Author: Winnie Daamen
Publisher: CRC Press
Published: 2014-09-17
Total Pages: 261
ISBN-13: 1482228718
DOWNLOAD EBOOKA 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 incorpo
Author: Yosef Sheffi
Publisher: Prentice Hall
Published: 1984
Total Pages: 426
ISBN-13:
DOWNLOAD EBOOKAuthor: Mahkame Megan Khoshyaran
Publisher:
Published: 1995
Total Pages: 324
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1987
Total Pages: 20
ISBN-13:
DOWNLOAD EBOOKThis paper presents an in-depth study of the methodology for estimating or updating origin to destination trip matrices from traffic counts. Following an analysis of the statistical foundation of the estimation and updating problems, various basic approaches are reviewed using a generic traffic assingment map. Computational issues related to specific assignment maps and estimation models for both road and transit networks are then discussed. Finally, additional insight into the relative performance of several estimators is provided by a set of test problems with varying input data.
Author: Robin Lovelace
Publisher: CRC Press
Published: 2019-03-22
Total Pages: 335
ISBN-13: 1351396900
DOWNLOAD EBOOKGeocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Author: United States. Federal Aviation Agency. Systems Research and Development Service
Publisher:
Published: 1963
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOKAuthor: Martin J. Beckmann
Publisher:
Published: 1956
Total Pages: 232
ISBN-13:
DOWNLOAD EBOOKAuthor: Jacques Volmuller
Publisher: VSP
Published: 1984-12
Total Pages: 622
ISBN-13: 9789067640084
DOWNLOAD EBOOKThe Ninth International Symposium on Transportation and Traffic Theory, held in the Netherlands in July 1984, follows the tradition of broad international information exchange that was developed at the eight previous symposia. Over the years the scope of the symposia has gradually widened to become both more international and more comprehensive than that of the earlier meetings. The Ninth Symposium continues this trend by including papers on a wide range of theoretical issues by leading members of the international research community.