Browsing by Author "Kong, Xiaoqiang "Jack""
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- Connected Vehicle Information for Improving Safety Related to Unknown or Inadequate Truck ParkingKatsikides, Nicole; Gick, Brittney N.; Parab, Smruti; Hwang, William "Billy"; Lee, Dahye; Montes de Oca, Jose Rivera; Farzaneh, Reza; Kong, Xiaoqiang "Jack"; Srisan, Tat; Bell, Stephen; Alden, Andy S.; Warner, Jeff; Schrank, David (Safe-D National UTC, 2022-10)Safety issues due to commercial truck parking shortages are a national concern. National hours-of-service (HOS) regulations limit drivers’ time on the road to increase safety by limiting fatigue. This requires drivers to locate safe, secure, and legal parking wherever they are when or before they hit their limits. If drive time is exhausted with 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 implications to all highway users due to large trucks parking in unsafe locations or truck drivers driving past their allotted hours. 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 develop 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 solutions for distributing information on parking availability directly to drivers.