Detecting deviation from normal driving using SHRP2 NDS data

Papazikou, Evita; Quddus, Mohammed; Thomas, Pete

Abstract

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• Presentation Conference Type: Conference Paper (unpublished)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
• Public URL: https://uwe-repository.worktribe.com/output/12111852
• Publisher URL: https://trid.trb.org/view/1436793