Abstract

The number of road accidents and fatalities is increasing in Malaysia. Motorcyclists represent more than 50% of road accidents, and many of them occur while commuting. These accidents have a high impact on the Social Security Organization of Malaysia, as the compensation paid out to the employees is almost going over their total contributions. Data were gathered about the demographics of the riders, risk-taking behavior, and their performance during the training. The data was analyzed using V-ONE dashboard, to identify the riders with the highest risk of being involved in an accident. Findings indicate that male riders in the age group of 31-34 years old, have education level SPM, and receive a low monthly income, their commuting distance is 31km to 60km, and they have a higher risk of being involved in an accident. Also, riders with the least competent performance in the training, have a higher risk of being involved in accidents.

Poster - Video - CV