title: Efficacy of roll stability control and lane departure warning systems using carrier-collected data.
abstract: BACKGROUND
  Large truck crashes have significantly declined over the last 10 years, likely due, in part, to the increased use of onboard safety systems (OSS). Unfortunately, historically there is a paucity of data on the real-world efficacy of these devices in large trucks. The purpose of this study was to evaluate the two OSSs, lane departure warning (LDW) and roll stability control (RSC), using data collected from motor carriers.
  
  
  METHODS
  A retrospective cohort approach was used to assess the safety benefits of these OSSs installed on Class 7 and 8 trucks as they operated during normal revenue-producing deliveries. Data were collected from 14 carriers representing small, medium, and large carriers hauling a variety of commodities. The data consisted of a total of 88,112 crash records and 151,624 truck-years that traveled 13 billionmiles over the observation period.
  
  
  RESULTS
  The non-LDW cohort had an LDW-related crash rate that was 1.917 times higher than the LDW cohort (p=0.001), and the non-RSC cohort had an RSC-related crash rate that was 1.555 times higher than the RSC cohort (p<0.001).
  
  
  CONCLUSIONS
  The results across analyses indicated a strong, positive safety benefit for LDW and RSC under real-world conditions.
  
  
  CONCLUSIONS
  The results support the use of LDW and RSC in reducing the crash types associated with each OSS.
authors: Virginia Tech Transportation Institute, USA. Electronic address: jhickman@vtti.vt.edu.
authors: Jeffrey S
authors: JS
authors: Hickman
authors: Virginia Tech Transportation Institute, USA; Department of Statistics, Virginia Polytechnic Institute and State University, USA.
authors: Feng
authors: F
authors: Guo
authors: Virginia Tech Transportation Institute, USA.
authors: Matthew C
authors: MC
authors: Camden
authors: Virginia Tech Transportation Institute, USA.
authors: Richard J
authors: RJ
authors: Hanowski
authors: Virginia Tech Transportation Institute, USA.
authors: Alejandra
authors: A
authors: Medina
authors: Virginia Tech Transportation Institute, USA.
authors: J Erin
authors: JE
authors: Mabry
mesh_terms: D000062:Accidents, Occupational / Q000517:prevention & control / Q000706:statistics & numerical data; D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data*; D003625:Data Collection; D006801:Humans; D018986:Motor Vehicles / Q000706:statistics & numerical data*; D016272:Occupational Health; D011482:Protective Devices / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D014195:Travel
keywords: Carrier data; Crash; Lane departure warning; Roll stability control; Truck