Details:

Creators:
Ayyub, Bilal M ; Mao, Yujie ; Hamed, Majed ; Elsibaie, Sherief ; Elsibaie, Magdy
Ayyub, Bilal M ; Mao, Yujie ; Hamed, Majed ; Elsibaie, Sherief ; Elsibaie, Magdy Less -
Corporate Creators:
University of Maryland (College Park, Md.). Department of Civil and Environmental Engineering
Corporate Contributors:
United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development ; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development ; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology Less -
Subject/TRT Terms:
[+]
Disaster Resilience Freight Trains Genetic Algorithms Optimization Sequencing Service Disruption Topology
Publication/ Report Number:
DOT/FRA/ORD-23/35
Resource Type:
Tech Report
Geographical Coverage:
United States
Contracting Officer:
Omar, Tarek
Corporate Publisher:
United States. Department of Transportation. Federal Railroad Administration
Abstract:
The Federal Railroad Administration sponsored a team at the University of Maryland at College Park’s Center for Technology and Systems Management (CTSM) to develop methods and illustratively assess the weighted connectedness efficiency of U. S. freight railroad networks based on commodity volumes and examine node and link criticality for the entire network’s performance based on waybill data to inform planning decisions. Research was conducted from 2019 to 2022 at the CTSM.
Format:
PDF
Funding:
693JJ620C000006
Collection(s):
Federal Railroad Administration
Main Document Checksum:
[+]
urn:sha256:131ee7caa7ddc4a92cda22ea7a6571f38ee7c0c17b819272769701e3765d96f2
Download URL:
https://rosap.ntl.bts.gov/view/dot/71893/dot_71893_DS1.pdf
File Type:

Supporting Files

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