Evaluating Economic Mobility and Resilience of Multimodal Freight Operations in a Connected Vehicle Environment

In this research, a probabilistic model for reliability of the communication network is developed and it relates it to travel time changes for mobility as well as (during disruptions) for resilience. The modeling for network reliability is being carried out as a percolation process which is known to mimic failures in links/nodes quite precisely in a network of any given size. Findings in this research indicate that decreasing the value of micro-level reliability, the macro-level reliability will tend to decrease as well. This can be further corroborated with the fact that a low micro-level reliability among individual vehicles of a cluster on an average will lead to low macrolevel reliability of the group of clusters. Further, it is observed that the ratio of theoretical number of vehicles with sensors to total number of vehicles on highway is almost 1 when the optimum radius of transmission range is greater than 1500 feet for traffic densities lower than 9 veh/mile (under sparse traffic conditions). This optimum radius for transmission range is higher than 55 feet for traffic densities lower than 100 veh/mile with dense traffic conditions. Irrespective of the density of the freight vehicles around an intermodal terminal, port or airport (i.e. congested or uncongested highway with trucks), the expression for the average distance to the closest freight truck does not change. As the length of the highway segment increases, there is linear increase in the average size of connected k-component (i.e. k trucks). However, there is exponential increase in the average size of the connected k-component (trucks) with increase in density of vehicles and/or with increase in sensor transmissions radius. This information is useful in determination of optimum radius of sensor radius when freight vehicles are moving in a platoon.

• Record URL:
  https://www.metrans.org/sites/default/files/research-project/16-05 Final Report.pdf
• Record URL:
  https://dot.ca.gov/-/media/dot-media/programs/research-innovation-system-information/documents/final-reports/ca18-3123-finalreport-a11y.pdf
• Record URL:
  https://merritt.cdlib.org/api/presign-file/ark%253A%252F13030%252Fm5mh2mt3/2/producer%252Fca18-3123-finalreport-a11y.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/66865
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1194927424
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626

  California State University, Long Beach

  Department of Civil Engineering and Construction Engineering Management
  1250 Bellflower Boulevard
  Long Beach, CA  United States  90840

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Chandra, Shailesh
  • Jimenez, Jose
  • Nguyen, Annie
  • Iniguez, Liliana
• Publication Date: 2018-2-28

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 61p

Subject/Index Terms

• TRT Terms: Connected vehicles; Economic indicators; Freight transportation; Multimodal transportation; Operating costs; Routes and routing; Traffic congestion; Trucks; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Geographic Terms: California
• Subject Areas: Data and Information Technology; Economics; Freight Transportation; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01698677
• Record Type: Publication
• Report/Paper Numbers: TO 018.2, CA18-3123
• Contract Numbers: 65A0533
• Files: BTRIS, UTC, NTL, TRIS, RITA, ATRI, USDOT
• Created Date: Mar 7 2019 10:27AM