Effect Of Driving Duration On Eeg Fluctuations

Abstract

Road accidents are a major issue in Indonesia, and their number increases every year. Based on previous studies, mental fatigue is one of the biggest factors leading to road accidents and is majorly affected by mental workload. Driving duration is one of the factors that triggers mental fatigue. The prior literature cites electroencephalogram (EEG) measurement as the gold standard for measuring fatigue. However, there has been only limited study to examine the EEG indicators that are affected by driving duration, and the prior research still contains disagreements regarding the best EEG parameter for use in measuring fatigue. Therefore, this study aimed to evaluate the effect of driving duration on EEG fluctuation and determine the best EEG parameter related to fatigue. Seven participants were asked to spend three hours driving in a medium-fidelity simulator. A one-way ANOVA and correlation analysis were performed to measure the effect of driving duration on the EEG indicators and determine the correlation of the indicators. A Receiver Operating Characteristics (ROC) curve was also utilized to determine the variable with the greatest correlation with the subjective sleepiness indices. The results showed that at the end of three hours' driving, there was an increment in delta and theta activities, followed by a decrement in alpha and beta activities. In addition, the correlation of all bands was significant, with positive results for the alpha-beta and theta-delta bands, and a negative result in relation to each other. Furthermore, the results from the ROC curve revealed the Relative Power Ratio (RPR) of theta, the RPR of alpha, and the ratio of θ/α+β to be the best indicators among others, demonstrating a high degree of accuracy (above 85%).

An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue

“…Changes in EEG parameters as a function of fatigue have been reported by Craig,et al and Ma,et al [29,30] and, to some extent, are in line with the results of this study. The results of this study, however, are in contrast to those reported by Jap, et al [14] and Puspasari, et al [31] Another important finding here is the fact that the power of all EEG parameters for the night driving sessions was substantially greater than those obtained from the morning driving sessions. This difference is particularly true for the brainwave power obtained from the frontal brain area.…”

Correlation Among Behavior, Personality, and Electroencephalography Revealed by a Simulated Driving Experiment

“…The ERPs utilized for resource reconstruction were acquired throughout the whole driving process, therefore, the effect of driving duration could not be detected using our current schema, which is another limitation of this study. Generally, driving duration had a close relationship with driving behaviors (Otmani et al, 2005; Geden et al, 2018) and EEG features (Puspasari et al, 2017). The influence of driving duration on personality, EEG and driving behaviors warrants further research.…”

Fatigue Among Indonesian Commercial Vehicle Drivers: A Study Examining Changes in Subjective Responses and Ocular Indicators

“…Such phenomena certainly pose a safety risk, but this issue has been very rarely quantified and investigated. Several research findings pertain to fatigue and sleepiness have been reported in Indonesia (Zuraida and Abbas, 2020;Zuraida, Iridiastadi, and Sutalaksana, 2017;Puspasari et al, 2017Puspasari et al, , 2015Muslim et al, 2015). These investigations, however, were conducted by utilizing driving simulators, with findings that could not directly be generalized within the field contexts.…”