Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk (2014) / Chapter Skim
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Pages 16-29
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16 C h a p t e r 2 2.1 Shrp 2 Naturalistic Driving Study Data An onboard data acquisition system (DAS) was designed, manufactured, and installed in each volunteer's own vehicle.
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17 Table 2.1. Characteristics of Targeted Crash Population, by Precrash Scenario Type 22.
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18 or near-crash events, a minimum of 220 MBLs, and a minimum of 220 RBLs, for a total minimum of 660 events. The exact proportion of crash versus near-crash events in the minimum 220 was difficult to predetermine as it was not known how many crashes would be available.
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19 Crash and Near-Crash Selection The formation of a candidate event pool for crashes and near crashes was suggested; a subset of crashes and near crashes would be sampled from that pool. The idea was that crashes should be found by whatever manner possible (e.g., site reports or with kinematic triggers)
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20 event, and must have a maximum amount of 1.5 seconds of standstill (<0.1 km/h)
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21 way, what state or action by this vehicle, another vehicle, person, animal, or nonfixed object was critical to this vehicle becoming involved in the crash or near crash? This is a vehicle kinematic measure (based on what the vehicle does -- an action, not a driver behavior)
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22 Data quality analysis. The initial data processing (above)
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23 44 Allow trip summary data to be calculated, including number of targets tracked, time headway, and time to collision; 44 Path prediction in the context of determining lead vehicles; 44 Parse targets into lanes; and 44 Develop and refine the necessary data to be applied to the crash and near-crash algorithms that use radar variables. At this point there is insufficient information on the outcome of the VTTI RADAR data project to comment on how the identified quality issues will be addressed in the future.
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24 point or minTTC. This was because the minimum distance point for some near crashes was up to 3 seconds later than the minTTC.
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25 location includes anytime the driver is looking out the windshield but clearly not in the direction of travel (e.g., at road signs or buildings)
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26 Location present before the eyes closed. If one eye remains open, code the location according to the open eye.
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27 the crash point in crash events and the minimum time to collision in near-crash events, and is set at 15 seconds into the video annotated data in the random and matched baseline events. Driver Reaction Point.
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28 Lead-Vehicle Speed (LVspeed)
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29 this is the type of information that humans presumably use to perceive and control the situation kinematics in driving and other forms of locomotion (although it is debated exactly what optical information is used for different types of tasks)
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