Study on driver behaviour in pre-crash scenario involving pedestrian and motorcycle by using UC win road software

Muhamad, Ahmad Abdullah (2023) Study on driver behaviour in pre-crash scenario involving pedestrian and motorcycle by using UC win road software. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Driving simulators are widely used around the world for many purposes. The main purpose of the driving simulator is commonly for research, such as a study on road safety in Malaysia. In Malaysia, road accidents have increased over the last ten years. Meanwhile, the number of fatalities has been steadily decreasing since peaking at 7,152 in 2016 and dropped to its lowest point of 6,167 in 2019. Basicaly, this research is to analyze the market survey, design, develop and study driver's behaviour reaction time, braking time, and participant mental workload using NASA Task Load Index (TLX) based on driving simulator pre-crash scenario on UC Win Road Software. Based on previous research, certain things have been studied, such as validating a driving simulator for research into human factors issues on automated vehicles. The main findings of this research are to get information from society about the driving simulator product preferences and specifications and driving behaviour based on virtual reality to obtain data on recognition time and braking time. Besides that, to obtain workload from participants in experiment. The method used in this research is by conducting a survey questionnaire based on driving simulator product preferences, creating pre-crash scenarios consisting of pedestrian and motorcycle scenarios and providing a NASA TLX questionnaire to determine the participant workload involved in the experiment that has been conducted. The result from this research states that the speed of an object oncoming toward the driver influences the driver's behaviour based on recognition and braking time. As for the workload before and after the experiment conducted based on NASA TLX shows that the null hypothesis is accepted based on the t-test as there is no connection between workload before and after the experiment. In conclusion, the driving simulator can measure driver behaviour based on reaction and braking time.

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