United States Department of Transportation
i
Integrating Emerging Data Sources into Operational Practice : State of the Practice Review
-
2016-12-01
-
[PDF-3.61 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report
-
Contracting Officer:
-
Corporate Publisher:
-
Abstract:The purpose of this report is provide agencies responsible for Transportation Systems Management and Operations (TSM&O) with an introduction to successful Big Data tools and technologies that can be used to aggregate, store, and analyze new forms of traveler-related data that may be useful for operations. While traditional sources of transportation data for TSM&O will remain, emerging data sources, largely those from Connected Travelers, Connected Vehicles, and Connected Infrastructure, will represent a significant opportunity for Departments of Transportation (DOTs) and localities to improve TSM&O practices. In addition, this report will identify ways these collection, storage, and analytics practices can be integrated into the next generation of transportation management systems. Big data techniques outside of the transportation field were considered, to identify practices that may be useful within the transportation field. The first chapter reviews the common functions of TSM&O and provides a state of the practice summary of how data and information currently are acquired, processed, stored, and analyzed. The second chapter identifies emerging data sources from connected vehicles (CV), connected travelers, and other sources relevant to TSM&O and predicts the point(s) of access of these data to a DOT. Chapter 3 then characterizes each of the emerging sources by current and future volume and data velocity (the rate at which data is generated and the rate at which the data accumulates over time). The future data volumes are assessed at a national scale and at the scale of a “typical” agency. The data volumes for the national level are computed and presented only to assess the sheer scale. Chapter 4 provides an overview of Big Data tools and technologies. Chapter 5 then introduces the reader to the popular and common platforms for ingesting, processing, and analyzing large volumes of information. Lastly, chapter 6 introduces cost models for commercial tools and platforms.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
