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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24262

Title: Detecting deviation from normal driving using SHRP2 NDS data
Authors: Papazikou, E.
Quddus, Mohammed A.
Thomas, Pete
Keywords: Naturalistic driving studies
Normal driving
SHRP2 data
Crash progression
Threshold validation
Issue Date: 2017
Publisher: © The Authors
Citation: PAPAZIKOU, E., QUDDUS, M.A. and THOMAS, P., 2017. Detecting deviation from normal driving using SHRP2 NDS data. Presented at the Transportation Research Board (TRB) 96th Annual Meeting, Washington D.C., US, 8th-12th January 2017.
Series/Report no.: TRB 96th Annual Meeting Compendium of Papers;17-03309
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.
Description: This is a conference paper.
Sponsor: This paper was sponsored by TRB committee AND30 Standing Committee on Simulation and Measurement of Vehicle and Operator Performance. We wish to express special thanks to Insurance Institute for Highway Safety (IIHS-HLDI) for their financial support with which the SHRP2 NDS data was obtained.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/24262
Publisher Link: http://amonline.trb.org/
Appears in Collections:Conference Papers and Presentations (Design School)

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