Explores a business plan for the development of Transportation Knowledge Networks (TKNs) in the United States. The business plan defines ten key products and services to be provided to transportation practitioners by the regional TKNs, with support from a national coordination function. TKNs are defined as "decentralized, managed networks linking information providers to users wherever they are located."
A knowledge network is created by the desire to gather, organize, and share information, whether explicit (documents, etc.) or implicit (personal experiences, organizational workflows, etc.). The goals of a knowledge network include preserving, expanding, analyzing, and implementing the gathered knowledge to benefit the network, its members, as well as the target audience. When Transportation Research Board (TRB) Special Report 284 (SR-284), Transportation Knowledge Networks: A Management Strategy for the 21st Century, was published ten years ago the Midwest Transportation Knowledge Network (MTKN) was the sole transportation knowledge network (TKN). This paper, issued by the AASHTO Research Advisory Committee Coordination and Collaboration Task Force Transportation Knowledge Networks Working Group, describes TKNs, outlines lessons from the first TKN, and looks at the development and current activities of the Western Transportation Knowledge Network (WTKN), Eastern Transportation Knowledge Network (ETKN), and the National Transportation Knowledge Network (NTKN).
This book presents many valuable research methods useful in conducting research in modern urban transportation systems and networks. The knowledge base in practical examples, as well as the decision support methods described in this book, is of interest to people who face the challenge of searching for solutions to the problems of contemporary transport networks and systems on a daily basis. The book is therefore addressed to local authorities related to the planning and development of strategies for selected areas with regard to transport (both in the urban and regional dimensions) and to representatives of business and industry, as people directly involved in the implementation of urban transportation systems and networks solutions. The methods contained in individual chapters of the book allow to look at a given problem in an advanced way and facilitate the selection of the appropriate strategy (e.g., in relation to the air quality in considering the impact of the atmospheric emission from the urban road traffic, the role of incentive programs in promoting the purchase of electric cars, life-cycle costing decision-making methodology and urban intersection design, but also in assessing the impact of the socio-financial conditions on the bike-sharing system operation and its implementation in medium-sized cities, etc.). In turn, due to the new approach to theoretical models (including comparison methods of driving errors in a single-lane and multi-lane roundabouts, methods of parking measurements, methods of ensuring the technical readiness of transport companies fleet due to the region's capabilities as well as speed-related surrogate measures of road safety based on floating car data), the book is also of interest to scientists and researchers carrying out research in this area.
Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis.
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Transportation, Housing and Urban Development, and Related Agencies
This report is a record of the formation, major activities and accomplishments of the Transportation Library Connectivity pooled fund study, TPF-5(105), from its approval by FHWA in 2005 through its fifth and final annual meeting in September 2010. Some 50 state departments of transportation, 600 transit agencies and nearly 400 metropolitan planning organizations generate a staggering amount of valuable information, yet the transportation sector lacks a systematic approach to effectively manage this information. This challenge has been well-documented in reports such as the Federal Highway Administration's Value of Information and Information Services; the National Cooperative Highway Research Program's Scoping Study for a National Strategic Plan for Transportation Information Management; and the Transportation Research Board's Special Report 284, Transportation Knowledge Networks: A Management Strategy for the 21st Century. The Transportation Library Connectivity pooled fund study was formed against the backdrop of these challenges and developments. By working together more closely and more formally as transportation agency libraries, members improved services to their customers and also enhanced their readiness to embrace the planned policy changes recommended by TRB SR 284 for inclusion in the next surface transportation funding act. During its five years, study membership grew from 11 members in nine states to 25 members in 22 states. A new pooled fund study, to be led by Missouri DOT, is being formed to build upon the achievements of this study.
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. - Includes case studies in each chapter that illustrate the application of concepts covered - Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies - Contains contributors from both leading academic and commercial researchers - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
This guidebook provides methods for integrating performance measures from individual transportation modes and multiple jurisdictions and for developing new measures, if needed, to monitor transportation network performance. These network performance measures can be used to improve system management, planning, and investment decisions and can be applied to various scenarios. The guidebook should be of immediate use to practitioners in state, regional, or local governments; specially designated authorities; or those in the private sector who are responsible for measuring, operating, and investing in the performance of multimodal and/or multijurisdictional transportation networks.
