|Author||: Moridpour, Sara,Toran Pour, Alireza,Saghapour, Tayebeh|
|Publisher||: IGI Global|
|Release Date||: 2019-01-11|
|ISBN 10||: 1522579443|
|Pages||: 188 pages|
Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
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.
Issues for 1963- include section: Urban transportation research digest.
|Release Date||: 2004|
|Pages||: 4 pages|
|Author||: James Sterling|
|Release Date||: 2001|
|Pages||: 157 pages|
The Arizona Department of Transportation (ADOT) undertook a review and evaluation of the technologies used by the agency to process, store, manage, and disseminate traffic data. Traffic count information constitutes the most elemental data that ADOT uses for planning, analysis and monitoring, and yet often remains the least accessible within the agency. ADOT found that different functional departments often duplicated traffic counts, count information was often little understood, and hence not trusted, and consistent data were not accessible throughout ADOT -- there was not a single source where traffic data were collected and disseminated. Through the research ADOT identified a hierarchy of actions designed to more effectively manage this most basic resource, and to restore confidence among users. An implementation plan was developed and is now being acted upon within the department.
|Release Date||: 2013|
|Pages||: 329 pages|
|Author||: American Association of State Highway and Transportation Officials. Joint Task Force on Traffic Monitoring Standards|
|Publisher||: American Association of State Highway & Transportation Officials|
|Release Date||: 1992|
|Pages||: 114 pages|
The objective of these AASHTO Guidelines is to improve the quality of the traffic information that supports decisions at all levels of the transportation profession. The Guidelines provide a reference for professional traffic monitoring and establish a process for adoption of national traffic nomitoring standards. They specifically address concerns of state transportation agencies.
This synthesis will be of interest to traffic engineers, highway planners, and others concerned with the collection of traffic data for traffic engineering studies, for long-range planning, and for evaluation of traffic law enforcement. Information is presented on current practice in traffic data collection and analysis. Although types of highway traffic data collected over the past 50 years have not changed significantly, the quantities, analysis procedure, and presentations of these data have changed as a result of changing policies, operational concerns, and capabilities resulting from new technologies. This report of the Transportation Research Board describes the technology (both hardware and software) that is being used for traffic data collection, and discusses technological advances that have not yet been applied to the acquisition and presentation of traffic data.