Analisis Pengaruh Cuaca dan Kepadatan Lalu Lintas Terhadap Situational Awareness: Studi dengan Kuesioner SART dan EEG

Abstract

Situational Awareness (SA) is an important cognitive aspect in driving activities, as it enables drivers to recognize, understand, and predict the surrounding conditions appropriately. The number of traffic accidents that occurred in Indonesia was 146,854 cases and as many as 140,629 cases were caused by human error. This study aims to analyze the influence of weather and traffic density on driver situational awareness using two approaches, namely the SART questionnaire and EEG waves. The study was conducted on six male respondents using a driving simulator in four scenario combinations. SART data was analyzed using ANOVA Repeated Measures, while EEG data (pre-post) was analyzed using Wilcoxon test. The results showed that the highest and lowest average SA values were 20.5 and 15 when respondents performed the T3 and T2 scenarios. Based on statistical tests, the results showed that there were significant differences between scenarios based on SART scores with a value of p = 0.07 (p < 0.1). In the alpha wave, there was no significant difference between pre- and post-driving conditions in the four scenarios, while in the beta wave, there was a difference between pre- and post driving conditions in scenario T3. This indicates that weather and traffic density have an influence on driver concentration, which can increase driver cognitive load.