Integrating Emerging Data Sources Into Operational Practice

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Integrating Emerging Data Sources Into Operational Practice

2018-05-15
By United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office ; United States. Federal Highway Administration

File Language:

English

Details

Corporate Creators:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office ; United States. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-JPO-18-640
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office ; United States. Federal Highway Administration
Abstract:

Agencies have the potential to collect, use, and share data from connected and automated vehicles (CAV), connected travelers, and connected infrastructure elements to improve the performance of their traffic management systems and traffic management centers (TMCs) and the facilities they manage. The integration of these techniques and approaches from other industries into these systems offers agencies the ability to explore how they could take advantage of and harness the potential of using and sharing data with connected and automated vehicles, connected travelers, and other sources. The Federal Highway Administration and the ITS Program have developed several resources which provided the basis for the information captured on this fact sheet to support agencies assessing how these big data techniques and approaches could be integrated their systems to collect, use, and share data with the sources of these emerging data.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/37356/dot_37356_DS1.pdf
File Type:

[PDF - 356.99 KB]
Collection(s):

Federal Highway Administration ; ITSJPO Digital Library
Main Document Checksum:

urn:sha-512:6a25f9e7bdfb46ee604026138c05af79f63aae2cdf9949b80091d9f38da91bb5d8c70e30ceb00902def388da42149af5eff5b03523c48fabe4a2d23571be0d5a

File Language:

English

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