Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data

Accident; Analysis and Prevention
Fred FengRobert Wunderlich

Abstract

This paper investigated the characteristics of vehicle longitudinal jerk (change rate of acceleration with respect to time) by using vehicle sensor data from an existing naturalistic driving study. The main objective was to examine whether vehicle jerk contains useful information that could be potentially used to identify aggressive drivers. Initial investigation showed that there are unique characteristics of vehicle jerk in drivers' gas and brake pedal operations. Thus two jerk-based metrics were examined: (1) driver's frequency of using large positive jerk when pressing the gas pedal, and (2) driver's frequency of using large negative jerk when pressing the brake pedal. To validate the performance of the two metrics, drivers were firstly divided into an aggressive group and a normal group using three classification methods (1) traveling at excessive speed (speeding), (2) following too closely to a front vehicle (tailgating), and (3) their association with crashes or near-crashes in the dataset. The results show that those aggressive drivers defined using any of the three methods above were associated with significantly higher values of the two jerk-based metrics. Between the two metrics the frequency of using large negative ...Continue Reading

Citations

Jun 7, 2019·International Journal of Injury Control and Safety Promotion·Behnam BahmankhahMargarida C Coelho
Dec 11, 2019·Traffic Injury Prevention·Jennifer MerickelMatthew Rizzo
Dec 15, 2020·Accident; Analysis and Prevention·Harpreet Singh, Ankit Kathuria
Dec 15, 2020·Accident; Analysis and Prevention·Shabnam HaghzareAlex Mihailidis
Aug 30, 2019·Accident; Analysis and Prevention·Ramin ArvinAsad J Khattak
Jun 22, 2020·Journal of Safety Research·Jordanka KovacevaNikolce Murgovski
Apr 14, 2021·Accident; Analysis and Prevention·Xiao LiBrian Wolshon
Apr 27, 2021·Accident; Analysis and Prevention·Qiangqiang ShangguanShou'en Fang
Apr 19, 2021·Accident; Analysis and Prevention·Huiying MaoZachary R Doerzaph
Jun 16, 2021·Alzheimer's Research & Therapy·Sayeh BayatCatherine M Roe
Aug 20, 2021·Accident; Analysis and Prevention·Harpreet Singh, Ankit Kathuria
Aug 21, 2021·Accident; Analysis and Prevention·Xiaoqiang KongYunlong Zhang
Apr 6, 2021··Alexandru ForraiFrans Tillema

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