Connected Vehicle Information for Improving Safety Related to Unknown or Inadequate Truck Parking

Safety issues that stem from commercial truck parking shortages are a national concern. National hours-of-service (HOS) regulations limit drivers’ time on the road, in an attempt to increase safety by limiting fatigue; thereby, creating a need for drivers to locate safe, secure, and legal parking wherever they are when or before they hit their limits. In addition, the recent rule mandating the use of electronic logging devices (ELD) to electronically record a driver’s Record of Duty Status (RODS), replacing the HOS paper logbooks, further exacerbates drivers’ needs to find adequate parking. If drive time is exhausted where there is no nearby truck parking, drivers may park in unsafe or unauthorized locations to meet HOS requirements or they may continue to drive while fatigued. As a result, there are intrinsic safety impacts to all highway users due to large trucks parking in unsafe locations or truck drivers driving past their allotted hours. And, with the projected growth of truck traffic, the demand for adequate truck parking will continue to outpace the supply of public and private parking facilities. The current study will help transportation agencies in developing solutions to the parking availability problem by identifying effective methods for using data to estimate truck parking demand and areas of parking opportunity, assessing available data sources for estimating truck parking demand and supply, and determining the safest connected vehicle (CV) solutions for distributing information on parking availability directly to drivers.  

• Record URL:
  https://safed.vtti.vt.edu/projects/4610-2/

Language

• English

Project

• Status: Active
• Funding: $311830
• Contract Numbers:

  69A3551747115

• 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:

  Safety through Disruption University Transportation Center

  Virginia Tech Transportation Institute
  Blacksburg, VA  United States  24060
• Project Managers:

  Glenn, Eric

• Performing Organizations:

  Texas A&M Transportation Institute (TTI)

  400 Harvey Mitchell Parkway South
  Suite 300
  College Station, TX  United States  77845-4375

  Virginia Tech Transportation Institute

  3500 Transportation Research Plaza
  Blacksburg, Virginia  United States  24061
• Principal Investigators:

  Zmud, Johanna

• Start Date: 20210401
• Expected Completion Date: 20210731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Connected vehicles; Data mining; Fatigue (Physiological condition); Hours of labor; Information dissemination; Parking demand; Parking facilities; Transportation departments; Truck drivers; Trucking safety; Trucks
• Subject Areas: Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01769145
• Record Type: Research project
• Source Agency: Safety through Disruption University Transportation Center
• Contract Numbers: 69A3551747115
• Files: UTC, RiP
• Created Date: Apr 6 2021 2:09PM