Application of Advanced Analytic and Risk Techniques to Railroad Operations Safety and Management

Williams, Trefor P.; Betak, John; Nelson, Christie; Rutgers University. Center for Advanced Infrastructure and Transportation

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Application of Advanced Analytic and Risk Techniques to Railroad Operations Safety and Management

2021-05-01
By Williams, Trefor P. ; Betak, John ; Nelson, Christie

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English

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Details:

Creators:

Williams, Trefor P. ; Betak, John ; Nelson, Christie

Williams, Trefor P. ; Betak, John ; Nelson, Christie Less -
Corporate Creators:

Rutgers University. Center for Advanced Infrastructure and Transportation
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Data Analysis Decision Support Systems Investments Maintenance Management Prototypes Railroad Safety Risk Management Short Line Railroads
Publication/ Report Number:

CAIT-UTC-REG 24
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report 11/1/2019-3/31/2021
Corporate Publisher:

Center for Advanced Infrastructure and Transportation (CAIT) (UTC)
Abstract:

Railroads generate large amounts of data. The data collected by railroads are in several different forms including both numeric and textual data. Further, there are numerous external databases that contain information and data relevant to railroad maintenance, operations, and capital investments. The fundamental problem with the amounts of data and varied data sources is that railroads have generally lacked tools and the capability to analyze these data to develop predictive models to improve decisions regarding maintenance, operations, and capital investments that improve safety, service and, ultimately, overall profitability. This is particularly a problem for Class II and III short line railroads that lack significant staff and resources to undertake these analyses. This project specifically addresses these problems with two Class II railroads in terms of grade crossing and trespassing incidents and identifying potential transload customers for specific commodities. For one railroad partner, high-risk grade crossing and trespassing situations are identified, and potential risk reduction measures are recommended. For the other railroad partner, potential customers for two possible transload commodities are identified and data sources provided for further analyses. A prototype decision support system (DSS) is proposed, and advanced data visualization tools are demonstrated and applied for both railroads. Recommendations for further research and development are made specifically for grade crossing and trespassing risk metrics and profiles.
Format:

PDF
Funding:

69A3551847102
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:735530dde972e60befc2542dcbc46e135485fc48bbf668cfb47ab95daa47fcdb
Download URL:

https://rosap.ntl.bts.gov/view/dot/64789/dot_64789_DS1.pdf
File Type:

[PDF-36.76 MB]