Generating Reliable Freight Disruption Measures with Freight Telematics Data

Hernandez, Salvador; Han, Lee; Jiang, Steven; Albatayneh, Rakan

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Generating Reliable Freight Disruption Measures with Freight Telematics Data

2024-08-15
By Hernandez, Salvador ; Han, Lee ; Jiang, Steven

File Language:

English

Details

Creators:

Hernandez, Salvador ; Han, Lee ; Jiang, Steven ; Albatayneh, Rakan
Corporate Creators:

Center for Freight Transportation for Efficient and Resilient Supply Chain (FERSC) Tier 1 University Transportation Center (UTC)
Corporate Contributors:

EROAD ; Oregon Department of Transportation ; United States. Department of Transportation. Federal Highway Administration ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Publication/ Report Number:

FERSC-2023-Project3-1
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

9/1/2023 – 8/15/2024
Corporate Publisher:

Center for Freight Transportation for Efficient & Resilient Supply Chain
Abstract:

This report explores the use of telematics data to assess freight network resilience during significant disruptions, such as natural disasters and infrastructure failures. Focusing on case studies including the Oregon Forest Fires, Hurricane Florence, and the I-55 Mississippi River Bridge closure, the research analyzes freight movements before, during, and after these events. The findings highlight key patterns in route adaptations and recovery, providing valuable insights for transportation planners. The study emphasizes the importance of real-time data in developing reliable freight performance measures and improving infrastructure planning to enhance network resilience.
Format:

PDF
Funding:

69A3552348338
Download URL:

https://rosap.ntl.bts.gov/view/dot/86965/dot_86965_DS1.pdf
File Type:

[PDF - 3.11 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:cd4b176c82fb71b36d84930fcba918ba7076ffd1632b7b8ce0a65e2397071663464893dab99b596d7dc0d2e63bfea754e7b8716ab045a8b332839e6743553dd8

File Language:

English

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