Investigation of Time and Speed Perception using a Driving Simulator

Abstract

Thirty-four drivers participated in a driving simulator experiment which investigated time and speed perception as it related to cognitive workload resulting from secondary tasks. Each participant drove the virtual drive twice, once with either an audio or a map task and again with no distractions as a control. Participants knew from a practice drive that they would be asked to estimate their speed and time duration of driving, thus this study used the prospective paradigm. Based on previous literature it was expected that there would be an underestimation of time and an overestimation of speed. The reverse occurred, participants overestimated time and underestimate their speed. This suggests that drivers may have found the drive unstimulating, despite the secondary tasks, and that the rural environmental may have impacted speed perception. In addition, a large group of participants, nine out of 34, crashed the virtual vehicle at a horizontal curve that was not problematic in previous simulator studies. When investigating these crashes further, it was found that drivers who crashed in the second drive had significantly worse time perception in the first drive as compared to drivers who did not crash in the second drive. This finding suggests that current time perception may be a predictor of future speed selection.

CAN-bus Verileri kullanarak Agresif Sürüş Tespiti için Temel Sınıflandırma Algoritmalarının Performans Değerlendirmesi

“…Determination of aggressive driving without CAN bus data is achieved by the studies in (Waitkus at al, 2014;Li at al, 2014;Vignali at al, 2019;de Naurois at al, 2019). Simulator based studies rather using real vehicles exist in pressed resources introducing criteria for aggressive driving (Doshi at al, 2010;Gregoriades at al, 2013;Shirazi at al, 2014;Keklikoglou at al, 2018). Some of studies comprise influence of aggressive driving estimation on emission (Dia at al, 2015;Sun at al, 2016;Stogios at al, 2019;Faria at al, 2019).…”

Clasificación de comportamiento de conductores en curvas horizontales de carreteras rurales de dos carriles

“…These curves are measurements of speed control for drivers [14]. Driver age and experience are influencing variables in runoff crashes along two-lane rural horizontal curves [15], they usually overestimate time and underestimate their speed on Horizontal Curves in rural environments [16].…”