Residual Crashes and Injured Occupants With Lane Departure Prevention Systems

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Abstract and keywords

Every year, approximately 34,000 individuals are fatally injured in crashes on US roads [1]. These fatalities occur across many types of crash scenarios, each with its own causation factors. One way to prioritize research on a preventive technology is to compare the number of occupant fatalities relative to the total number of occupants involved in a crash scenario. Four crash modes are overrepresented among fatalities: single vehicle road departure crashes, control loss crashes, cross-centerline head-on crashes, and pedestrian/cyclist crashes [2]. Interestingly, three of these crash scenarios require the subject vehicle to depart from the initial lane of travel. Lane departure warning (LDW) systems track the vehicle lane position and can alert the driver through audible and haptic feedback before the vehicle crosses the lane line. Lane departure prevention (LDP) systems can perform an automatic steering maneuver to prevent the departure.

Another method of prioritizing research is to determine factors common among the fatal crashes. In 2017, 30.4% of passenger vehicle crash fatalities involved a vehicle rollover [1]. Half of all fatal single vehicle road departure crashes resulted in a rollover yet only 12% of fatal multi-vehicle crashes involved a rollover [1]. These often occur after the driver has lost control of the vehicle and departed the road. Electronic stability control (ESC) can provide different braking to each wheel and allow the vehicle to maintain heading. While ESC is a promising technology, some rollover crashes still occur. Passive safety systems such as seat belts, side curtain airbags, and stronger roofs work to protect occupants during rollover crashes. Seat belts prevent occupants from moving inside the occupant compartment during the rollover and both seat belts and side curtain airbags can prevent occupants from being ejected from the vehicle. Stronger roofs ensure that the roof is not displaced during the rollover and the integrity of the occupant compartment is maintained to prevent occupant ejection.

The focus of this dissertation is to evaluate the effectiveness of vehicle-based countermeasures, such as lane departure warning and electronic stability control, for preventing or mitigating single vehicle road departure crashes, cross-centerline head-on crashes, and single vehicle rollover crashes. This was accomplished by understanding how drivers respond to both road departure and cross-centerline events in real-world crashes. These driver models were used to simulate real crash scenarios with LDW/LDP systems to quantify their potential crash reduction. The residual crashes, which are not avoided with LDW/LDP systems or ESC, were analyzed to estimate the occupant injury outcome. For rollover crashes, a novel injury model was constructed that includes modern passive safety countermeasures. The results for road departure, head-on, and control loss rollover crashes were used to predict the number of crashes and injured occupants in the future. This work is important for identifying the residual crashes that require further research to reduce the number of injured crash occupants.

Keywords: Active Safety; Lane Departure Warning; Event Data Recorder; Crash Avoidance Modeling; Rollover Injury Model

Cited Works (13)

Year	Entry
2006	Dingus TA, Klauer SG, Neale VL, Petersen A, Lee SE, Sudweeks J, Perez MA, Hankey J, Ramsey D, Gupta S, Bucher C, Doerzaph ZR, Jermeland J, Knipling RR. The 100-Car Naturalistic Driving Study: Phase II – Results of the 100-Car Field Experiment. Washington, DC: National Highway Traffic Safety Administration; April 2006. Report No. DOT HS 810 593.
2004	Farmer CM. Effect of electronic stability control on automobile crash risk. Traffic Inj Prev. 2004;5(4):317-325.
2007	Sharma D, Stern S, Brophy J, Choi E-H. An overview of NHTSA’s crash reconstruction software WinSMASH. In: Proceedings of the 20th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 18-21, 2007; Lyon, France.
2016	Johnson TR. Fleetwide Models of Lane Departure Warning and Prevention Systems in the United States [Master's thesis]. Virginia Polytechnic Institute and State University; December 7, 2016.
2011	Kononen DW, Flannagan CAC, Wang SC. Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes. Accid Anal Prev. January 2011;43(1):112-122.
2012	Funk JR, Cormier JM, Bain CE, Wirth JL, Bonugli EB, Watson RA. Factors affecting ejection risk in rollover crashes. In: 56th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 14-17, 2012; Seattle, WA.203-211.
2006	Niehoff P, Gabler HC. The accuracy of winsmash delta-v estimates: the influence of vehicle type, stiffness, and impact mode. In: 50th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 16-18, 2006; Chicago, IL.73-89.
2015	Scanlon JM, Kusano KD, Sherony R, Gabler HC. Potential safety benefits of lane departure warning and prevention systems in the U.S. vehicle fleet. In: Proceedings of the 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 8-11, 2015; Gothenburg, Sweden.
2010	Hampton CE, Gabler HC. Evaluation of the accuracy of NASS/CDS delta-V estimates from the enhanced winsmash algorithm. In: 54th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 17-20, 2010; Las Vegas, NV.241-251.
2019	Riexinger LE, Sherony R, Gabler HC. A preliminary characterisation of driver evasive manoeuvres in cross-centreline vehicle-to-vehicle collisions. In: Proceedings of the 2019 International IRCOBI Conference on the Biomechanics of Injury. September 11-13, 2019; Florence, Italy.58-69.
2018	Riexinger LE, Gabler HC. A preliminary characterisation of driver manoeuvres in road departure crashes. In: Proceedings of the 2018 International IRCOBI Conference on the Biomechanics of Injury. September 12-14, 2018; Athens, Greece.484-492.
2019	Bareiss M. Effectiveness of Intersection Advanced Driver Assistance Systems in Preventing Crashes and Injuries in Left Turn Across Path / Opposite Direction Crashes in the United States [Master's thesis]. Virginia Polytechnic Institute and State University; November 5, 2019.
2004	Dang JN. Preliminary Results Analyzing the Effectiveness of Electronic Stability Control (ESC) Systems. Washington, DC: National Highway Traffic Safety Administration; September 2004. NHTSA Evaluation Note DOT HS 809 790.