Autonomous driving paper index
Analysis of Factors Contributing to Road Accidents in Penang, Malaysia
One-line summary
Road accidents in Malaysia impose significant public health and economic burdens.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Road accidents in Malaysia impose significant public health and economic burdens. Despite national road safety initiatives, Penang’s high vehicle density, complex traffic conditions, and role as a major tourist hub continue to contribute to elevated fatality rates, emphasizing the need to examine underlying risk factors. This study aims to explore the factors contributing to road accidents in Penang to inform targeted interventions and improve road safety in the region and beyond. Factors considered in this study include driving behavior, vehicle condition, traffic violation, road condition, weather condition, and traffic condition. A cross-sectional study was conducted, and convenience sampling was used to collect data from 400 licensed drivers in 5 districts of Penang via a questionnaire survey. The data were entered and analyzed via SPSS software. The results demonstrated that traffic conditions is the most significant factor impacting road accidents, while road conditions and driving behavior also contributing positively. In contrast, traffic violations have a slight negative impact.
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