Safe-D: Safety through Disruption

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

 

Abstract

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.

Project Highlights

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Final Report

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EWD & T2 Products

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Presentations/Publications

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Research Investigators (PI*)

Nicole Katsujudes (TTI/TAMU)*
Johanna Zmud (TTI/TAMU)
David Shrank (TTI/TAMU)
Brittany Gick (TTI/TAMU)
Jason Wallis (TTI/TAMU)
Jeff Warner (TTI/TAMU)
William Hwang (TTI/TAMU)
Kartik Jha (TTI/TAMU)
Dahye Lee (TTI/TAMU-Student)
Jack Kong (TTI/TAMU-Student)
Andy Alden (VT/VTTI)

Project Information

Start Date: 2021-04-01
End Date: 2021-07-31
Status: Active
Grant Number: 69A3551747115
Total Funding: $311,830
Source Organization: Safe-D National UTC
Project Number: TTI-06-01

Safe-D Theme Areas

Big Data Analytics
Connected Vehicles

Safe-D Application Areas

Performance Measures
Vehicle Technology

More Information

RiP URL
UTC Project Information Form

Sponsor Organization

Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States

Performing Organization

Texas A&M University
Texas A&M Transportation Institute
3135 TAMU
College Station, Texas 77843-3135
USA

Virginia Polytechnic Institute and State University
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia 24061
USA