Rail-CR : railroad cognitive radio.

Withers, Jared

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Rail-CR : railroad cognitive radio.

2012-12-01
By Withers, Jared

File Language:

English

Details

Creators:

Withers, Jared
Corporate Creators:

United States. Federal Railroad Administration. Office of Research and Development
Subject/TRT Terms:

Artificial Intelligence Decision Making Positive Train Control Radio Equipment Railroads Software Wireless Communication Systems
Publication/ Report Number:

RR 12-17
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Federal Railroad Administration. Office of Research and Development
NTL Classification:

NTL-RAIL TRANSPORTATION-RAIL TRANSPORTATION ; NTL-OPERATIONS AND TRAFFIC CONTROLS-OPERATIONS AND TRAFFIC CONTROLS
Abstract:

Robust, reliable, and interoperable wireless communication devices or technologies are vital to the success of positive train control (PTC) systems. Accordingly, the railway industry has started adopting software-defined radios (SDRs) for packet-data transmission. SDR systems realize previously fixed components as reconfigurable software. Recognizing the potential uses of SDRs for PTC systems, this project developed a railway cognitive radio (Rail-CR) that implements artificial intelligence decisionmaking capability in concert with an SDR to adapt to changing wireless conditions and learn from past experience. Objectives of the project included: developing a concept of operations for wireless data communication link adaptation based on use-case scenarios for packet radio systems; designing and implementing decisionmaking architecture on an SDR; designing strategies for radio environment observations; defining operational objectives and performance metrics; and designing and exercising a test plan to demonstrate performance under varying conditions.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:0788a9b1818e14adc0bfbea74b96dadae16d5a93846c4567d4f26fbc18398ad0
Download URL:

https://rosap.ntl.bts.gov/view/dot/26235/dot_26235_DS1.pdf
File Type:

[PDF - 240.10 KB ]

File Language:

English

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