Statistical Assessment of Driving Behavior On Simulators During Naturalistic Driving

@bachelorthesis{Sekar2022,
title = {Statistical Assessment of Driving Behavior On Simulators During Naturalistic Driving},
author = {Rubanraj Sekar and Olivia Jacome and Jeffrey Paul Chrstos and Stephanie Stockar},
editor = {Andras Kemeny and Jean-Rémy Chardonnet and Florent Colombet},
year  = {2022},
date = {2022-09-15},
journal = {Proceedings of the Driving Simulation Conference 2022 Europe VR},
pages = {73-76},
abstract = {This study evaluates the variation in driving performance caused by varying simulator driving time, vehicle physics, and the motion platform's impact on naturalistic driving activities in al driving-in-the-loop simulator through statistical evaluation of longitudinal metrics. Driving behavior on the simulator and on-road is compared statistically, using an instrumented vehicle to collect on-road driving data in a defined urban route with 14 drivers with no professional driving experience. Two vehicle models – a generic hot-hatch model and a model matching the instrumented Chevrolet Blazer in the longitudinal dynamics using CarSim for vehicle physics were used for the simulator driving activity. The urban route used for on-road driving was replicated in the virtual world with geometric accuracy. Longitudinal metrics showed absolute and relative validity for both vehicle models on the simulator. The variation in driving performance with varying vehicle models was captured statistically, with the Blazer model showing higher absolute validity when compared with on-road data. While the absence of motion resulted in driver inputs with higher maximum pedal usage, the presence of motion resulted in higher absolute validity. Despite the metrics recorded on the simulator having an offset, they showed a combination of absolute and relative validity throughout the driving route. Also, for the chosen population with no prior simulator experience, an additional 20-minute simulator driving did not change simulator driving performance.},
keywords = {driver performance, driver-in-loop, Limited motion simulator, simulator validation},
}

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TY  - CONF
TI  - Statistical Assessment of Driving Behavior On Simulators During Naturalistic Driving
AU  - Sekar, Rubanraj
AU  - Jacome, Olivia
AU  - Chrstos, Jeffrey Paul
AU  - Stockar, Stephanie
C1  - 
C3  - 
DA  - 2022/09/15
PY  - 2022
SP  - 73
EP  - 76
LA  - en-US
PB  - 
L2  - https://proceedings.driving-simulation.org/proceeding/dsc-2022/statistical-assessment-of-driving-behavior-on-simulators-during-naturalistic-driving
ER  - 

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