Generating Reliable Freight Disruption Measures with Freight Telematics Data

Disasters on the transportation network raise awareness of the need to plan for quick mobility and recovery whether they are due to human error, human intent, or nature. Therefore, understanding how resilient a network is to such events provides opportunities for transportation agencies to better prepare. Resilience measures then become a useful tool to evaluate and predict impacts of disruptions and recovery to guide investment decisions to protect against these events. When it comes to freight network system measurements there are two major challenges the states and other agencies face: (1) the absence of data and (2) the lack of methods of analysis. There are robust data for the movement of people and passenger vehicles but understanding the way freight moves presents different types of challenges to decision-makers especially under disruptions scenarios. These movements are based upon supply chain decisions made by individual corporations, which quite often change over time due to various economic conditions. Freight often moves across numerous jurisdictions and by multiple modes of transport (e.g., air, rail, water/marine, and truck). Data that captures origins and destinations, as well as methodologies of collecting and utilizing data across multiple jurisdictions and modes, are extremely limited for freight. Currently, decision-makers are only able to use a few data sources that help in identifying freight movements among States and regions, commodities, tonnage, and value. With this in mind, this research presents a framework based on telematics technology from EROAD, a regulatory telematics technology company from New Zealand who has provided telematics services to over 69,000 vehicles (and already collected data), to evaluate this data source for generating reliable freight network resiliency measures. EROAD is a company that develops and implements technology to modernize traditional paper-based systems within the trucking industry. As part of this modernization, EROAD collects the data used for generating reliable freight performance measures. Still, EROAD data has yet to be used for such an application. This research utilizes the Pacific Northwest as a case study which will allow the research team to evaluate freight movements over various jurisdictions (e.g., within state and state-to-state) and assess EROAD data in the development of reliable freight network resiliency measures. Given that EROAD data captures freight telematic data for truck movements, this study focuses on the trucking mode. The findings of this study have the potential to generate new and reliable freight network resiliency measures utilizing a new source of data for state transportation planners.

• Record URL:
  https://fersc.utk.edu/research-focus/fersc-projects/

Language

• English

Project

• Status: Active
• Funding: $390000
• Contract Numbers:

  69-A3552348338

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Freight Transportation for Efficient and Resilient Supply Chain

  University of Tennessee Knoxville
  Knoxville, TN  United States  37996
• Project Managers:

  Bruner, Britain

  Kaplan, Marcella

• Performing Organizations:

  Oregon State University, Corvallis

  School of Civil and Construction Engineering
  101 Kearney Hall
  Corvallis, OR  United States  97331-2302

  University of Tennessee, Knoxville

  Department of Civil and Environmental Engineering
  John D. Tickle Building
  Knoxville, TN  United States  37886

  North Carolina A&T State University, Greensboro

  Department of Civil Engineering
  Greensboro, NC  United States  27411-
• Principal Investigators:

  Hernandez, Salvador

  Han, Lee

  Alkaabneh, Faisal

• Start Date: 20231001
• Expected Completion Date: 20240930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Data analysis; Disaster resilience; Freight traffic; Service disruption; Supply chain management; Telematics; Trucking
• Geographic Terms: Pacific Northwest
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01895580
• Record Type: Research project
• Source Agency: Center for Freight Transportation for Efficient and Resilient Supply Chain
• Contract Numbers: 69-A3552348338
• Files: UTC, RIP
• Created Date: Oct 6 2023 5:40PM