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Detecting deviation from normal driving using SHRP2 NDS data

Papazikou, Evita; Quddus, Mohammed; Thomas, Pete

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Evita Papazikou

Mohammed Quddus

Pete Thomas


Normal driving is naturally the first stage of the crash development sequence. Investigating
normal driving can be proved useful for comparisons with safety critical scenarios and also
crash prevention. The better we understand it, the more effectively we can detect deviations
and stop them before they culminate in crashes. This study utilises Naturalistic driving data
from the Strategic Highway Research Program 2 (SHRP2) to look into normal driving
scenarios. Indicators’ thresholds were assumed with influence by the literature and then the
values were validated based on real world data. The paper focuses on the methodology for
deriving indicators representative of baseline, uneventful driving. With the approach that is
presented here, reliable thresholds for variables can be introduced, capable of detecting the
deviation on its very early onset.

Presentation Conference Type Conference Paper (unpublished)
Conference Name 96th Transportation Research Board Annual Meeting
Start Date Jan 8, 2017
End Date Jan 12, 2017
Deposit Date Jul 4, 2024
Publicly Available Date Jul 5, 2024
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