This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Methodology for Estimating the Benefits of Lane Departure Warnings using Event Data Recorders
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Road departures are one of the most deadly crash modes, accounting for nearly one third of all crash fatalities in the US. Lane departure warning (LDW) systems can warn the driver of the departure and lane departure prevention (LDP) systems can steer the vehicle back into the lane. One purpose of these systems is to reduce the quantity of road departure crashes. This paper presents a method to predict the maximum effectiveness of these systems. Thirty-nine (39) real world crashes from the National Automotive Sampling System (NASS) Crashworthiness Data System (CDS) database were reconstructed using pre-crash velocities downloaded for each case from the vehicle event data recorder (EDR). The pre-crash velocities were mapped onto the vehicle crash trajectory. The simulations assumed a warning was delivered when the lead tire crossed the lane line. Each case was simulated twice with driver reaction times of 0.38 s and 1.36 s after which time the driver began steering back toward the road. In addition, each case was simulated a third time, assuming it was equipped with LDP, which removed the reaction delay of the driver. The LDW or LDP system was assumed to be effective in preventing the crash if the point of impact of the original crash was not within the predicted return trajectory. Our preliminary findings were that a maximum LDW effectiveness would range between 16.7% and 21.5%. Maximum LDP effectiveness was 24.3%. This is the first method of its kind to investigate the effectiveness of LDW and LDP using EDR data.
CitationRiexinger, L., Sherony, R., and Gabler, H., "Methodology for Estimating the Benefits of Lane Departure Warnings using Event Data Recorders," SAE Technical Paper 2018-01-0509, 2018, https://doi.org/10.4271/2018-01-0509.
Data Sets - Support Documents
|Unnamed Dataset 1|
|Unnamed Dataset 2|
|Unnamed Dataset 3|
- Kusano , K.D. and Gabler , H.C. Comprehensive Target Populations for Current Active Safety Systems Using National Crash Databases Traffic Injury Prevention 15 7 753 761 2014 10.1080/15389588.2013.871003
- Scanlon , J.M. , Kusano , K.D. , Sherony , R. , and Gabler , H.C. Potential Safety Benefits of Lane Departure Warning and Prevention Systems in the US Vehicle Fleet Proceedings of the Twenty-Fourth International Conference on Enhanced Safety of Vehicles 2015
- National Highway Traffic Safety Administration FMVSS Standard 126 2006
- Lie , A. , Tingvall , C. , Krafft , M. , and Kullgren , A. The Effectiveness of Electronic Stability Control (ESC) in Reducing Real Life Crashes and Injuries Traffic Injury Prevention 7 1 38 43 2006 10.1080/15389580500346838
- Kusano , K.D. , Gabler , H.C. , and Gorman , T.I. Fleetwide Safety Benefits of Production Forward Collision and Lane Departure Warning Systems SAE International Journal of Passenger Cars-Mechanical Systems 7 2 514 527 2014 10.4271/2014-01-0166
- Kononen , D.W. , Flannagan , C.A.C. , and Wang , S.C. Identification and Validation of a Logistic Regression Model for Predicting Serious Injuries Associated with Motor Vehicle Crashes Accident Analysis & Prevention 43 1 112 122 2011 10.1016/j.aap.2010.07.018
- National Highway and Traffic Safety Administration 2006
- Johnson , T. Fleetwide Models of Lane Departure Warning and Prevention Systems in the United States Biomedical Engineering Department Virginia Tech, Blacksburg 2017
- Suzuki , K. and Jansson , H. An Analysis of Driver’s Steering Behavior during Auditory or Haptic Warnings for the Designing of Lane Departure Warning System JSAE Review 24 1 65 70 2003 10.1016/S0389-4304(02)00247-3
- Fricke , L.B. and Baker , J.S. Drag Factor and Coefficient of Friction in Traffic Accident Reconstruction Traffic Accident Investigation Manual 1990
- Noon , R. Engineering Analysis of Vehicular Accidents Boca Raton CRC Press 1994 14