A Spatial Editing and Validation Process for Short Count Traffic Data


Book Description

The Traffic Survey Unit (TSU) manages 40,000 traffic monitoring stations, of which 25,000 are updated annually. These counts obtained by TSU play a crucial role in allocation of resources for the maintenance, upgrade, and expansion of traffic infrastructure. The need for reliable, edited, and validated traffic count data is well acknowledged by the Federal Highway Administration (FHWA) and the American Association of State Highway and Transportation Officials (AASHTO). The research reported here addressed this need by developing a statistically defensible approach to achieving spatial continuity of traffic counts as part of the editing and validation process. The deliverables include GIS-formatted data that programmatically identify PTC stations that have anomalous counts. We also provide information for creating traffic continuity maps. Identification of problem areas is quick and reduces the burden on NCDOT staff. As such, the project will significantly improve the process of validating traffic counts by increasing the accuracy of reported counts, by reducing the time delay between data collection and reporting, and by making it easy to provide customized reports of traffic counts to NCDOT departments and customers.




AASHTO Guidelines for Traffic Data Programs


Book Description




Town and Infrastructure Planning for Safety and Urban Quality


Book Description

Today, citizens advocate greater environmental sustainability, better services and the improvement of urban quality by promoting safer mobility, especially for the most vulnerable road users. Addressing these issues, Town and Infrastructure Planning for Safety and Urban Quality contains papers presented at the XXIII International Conference “Living and Walking in Cities” (Brescia, Italy, 15-16 June 2017). The contributions discuss town planning issues, look at best practices and research findings across the broad spectrum of urban and transport planning, with particular attention to the safety of pedestrians in the city. The main topics of the book are: - Urban regeneration. A focus on walkability (vulnerable road users; boosting and planning soft mobility) - Road safety and urban planning - vulnerable road users: planning for safety (integrated land use and transport planning; methodological approaches and case studies; integrated tools for town and transport planning; shaping public spaces and walkability; transport solutions for tourism) - Innovative and traditional solutions for Italian cities - Extra-European approaches to town and infrastructure planning - Different perspectives in road safety: prevention, infrastructure, sharing - Advances in road safety Town and Infrastructure Planning for Safety and Urban Quality is a powerful plea for a multi-disciplinary and comprehensive approach to urban mobility and planning, and will be of interest to academics, consultants and practitioners interested in these areas.




Analytical Travel Forecasting Approaches for Project-level Planning and Design


Book Description

"TRB's National Cooperative Highway Research Program (NCHRP) Report 765: Analytical Travel Forecasting Approaches for Project-Level Planning and Design describes methods, data sources, and procedures for producing travel forecasts for highway project-level analyses. This report provides an update to NCHRP Report 255: Highway Traffic Data for Urbanized Area Project Planning and Design. In addition to the report, Appendices A through I from the contractor's final report are available on CRP-CD-143. These appendices supplement this report by providing a substantial amount of companion data and information. The appendices also include the extended literature review, the detailed NCHRP Report 255 review, supplementary tables, a list of defined acronyms, and a glossary. Also included on CRP-CD-143 are spreadsheet demonstrations, and, for reference purposes, a tool developed by the North Carolina Department of Transportation to assess annual average daily traffic."--Publisher's description.







Applied Spatial Data Analysis with R


Book Description

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.




Traffic Monitoring Guide


Book Description

This guide is designed to provide direction on the monitoring of traffic characteristics. It begins with a discussion of the structure of traffic characteristics monitoring and traffic counting. The next two sections cover vehicle classification and truck weighing. The last section presents the coordinated record formats for station identification, traffic volume, vehicle classification, and truck weight data.




Scalable Algorithms for Data and Network Analysis


Book Description

In the age of Big Data, efficient algorithms are in high demand. It is also essential that efficient algorithms should be scalable. This book surveys a family of algorithmic techniques for the design of scalable algorithms. These techniques include local network exploration, advanced sampling, sparsification, and geometric partitioning.







Spatial Microsimulation: A Reference Guide for Users


Book Description

This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse health and social disadvantage for small areas; and to look at the effect of policy change for small areas. This provides a powerful analysis tool for researchers and policy makers. This book covers preparing the data for spatial microsimulation; a number of methods for both static and dynamic spatial microsimulation models; validation of the models to ensure the outputs are reasonable; and the future of spatial microsimulation. The book will be an essential handbook for any researcher or policy maker looking to design and create a spatial microsimulation model. This book will also be useful to those policy makers who are commissioning a spatial microsimulation model, or looking to commission work using a spatial microsimulation model, as it provides information on the different methods in a non-technical way.