Non-stationary crash risk modelling of powered two-wheelers using extreme value analysis of surrogate crash events

Venthuruthiyil, Suvin P. (2023) Non-stationary crash risk modelling of powered two-wheelers using extreme value analysis of surrogate crash events. Accident Analysis & Prevention, 183. p. 106973. ISSN 0001-4575

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Abstract

Evaluating the impact of evasive actions such as braking and steering on the crash risk assessment of vehicles is a scarce endeavor due to the lack of relevant data. This study uses Extreme Value Theory to investigate and model the effect of evasive actions on the sideswipe crash risk of powered two-wheelers (PTWs) moving on multilane rural highways. The crash risk was projected from the observed sideswipe conflicts that were quantified using a surrogate safety indicator called anticipated collision time (ACT). The vehicle trajectory data extracted from traffic videos, collected using an unmanned aerial vehicle, was used as the input for the analysis. The data was denoised using a state-of-the-art trajectory reconstruction method called recursively ensembled low pass filtering. Once the conflicts were identified from the trajectory data, the crash risk models were developed considering five covariates: maximum deceleration rate, maximum yaw rate, and the times spent in decelerating, accelerating, and steering during a sideswipe conflict. These covariates were used to capture the non-stationarity in the traffic conflict extremes. The best performing non-stationary model was selected by comparing the negative log-likelihood values with the stationary-one. The findings suggest that the PTWs experience significant sideswipe crash risk on four-lane (crash risk 0.09%) and six-lane (crash risk 0.17%) highways. The sideswipe crash risk of PTWs increases with the increase in the intensity of braking and steering actions measured in terms of maximum deceleration and yaw rates. Further, this study emphasizes that incorporating the effects of evasive actions in the crash risk estimation and developing non-stationary models could significantly improve the precision of crash frequency estimates. Based on the findings it can be concluded that for the safety improvement of PTWs on multilane highways, lane-restriction should be imposed which can increase the safety margin during sideswipe conflicts.

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IITH Creators:

IITH Creators	ORCiD
Venthuruthiyil, Suvin P.	http://www.orcid.org/0000-0002-1977-0561

Item Type:

Article

Uncontrolled Keywords:

Evasive actions; Extreme value theory; Multilane highways; Non-stationary; Powered two-wheelers; Sideswipe conflict; Surrogate safety measure; Risk assessment; human; probability; risk assessment; rural population; traffic accident; Crash risk; Evasive action; Extreme value theory; Multi-lane highway; Nonstationary; Powered two-wheeler; Safety measures; Sideswipe conflict; Surrogate safety measure; Two wheelers; Accidents; Antennas; Automobile steering equipment; Frequency estimation; Low pass filters; Risk perception; Steering; Trajectories; Accidents, Traffic; Humans; Probability; Risk Assessment; Rural Population

Subjects:

Civil Engineering > Construction & Building Technology
Civil Engineering

Divisions:

Department of Civil Engineering

Depositing User:

Mr Nigam Prasad Bisoyi

Date Deposited:

13 Sep 2023 05:07

Last Modified:

13 Sep 2023 05:07

URI:

http://raiithold.iith.ac.in/id/eprint/11672