Driver Behaviour in Pre-Crash Scenarios Involving Pedestrian and Motorcycle

Abstract

Driving simulators are extensively utilized for research, especially in investigating road safety in Malaysia. The increasing number of road accidents in Malaysia and the limitations of conducting road tests due to safety concerns and legal restrictions highlight the need for an effective tool to study and improve driver behaviour in critical situations. Although driving simulators have evolved significantly, their equivalence to real-world driving experiences remains a complex and multifaceted issue. This study aims to design and develop a driving simulator to examine driver behaviour, including reaction time, braking time, and mental workload assessed by the NASA Task Load Index (TLX). Additionally, it seeks to gather insights from market surveys to enhance the simulator's effectiveness. The research primarily focuses on pre-crash scenarios using the UC Win Road Software. Key findings provide insights into society's preferences and specifications for driving simulators, alongside data on driving behaviour measured through virtual reality, encompassing recognition time and braking time. Furthermore, the study evaluates participants' workload via the NASA TLX questionnaire. The results indicate a notable correlation between driver behaviour and the speed of oncoming objects. Moreover, the study reveals that there is no significant connection between the workload before and after the experiment based on the NASA TLX questionnaire. In conclusion, this research establishes driving simulators as valuable tools for effectively measuring driver behaviour regarding reaction time and braking time.