Data visualization of road traffic accident analysis

Due to the growing tendency of the occurrences in conjunction with the growth in the number ofregistered cars in Malaysia year by year, road traffic accidents have proven to be a severe issue of concern. Information on the causes of the phenomenon is crucial to itnproving understanding and supporting various responsible agencies with the theory and framework for building the right legislation, and policy, as well as for intervention plans for road traffic accidents. The main objective of the project is to itnprove comprehension of road traffic accidents by offering a comprehensive and visually captivating summary of accident statistics. The following objectives are outlined to support the aitn of the project are to identify the data requirements for road traffic accidents in Malaysia, to design and develop a Road Traffic Accident Dashboard with data visualization and to evaluate the level of user acceptance test toward the Road Traffic Accident Dashboard by using the User Acceptance Test (UAT). The methodology of the Waterfall model has been utilized for this project. It consists of five phases: planning, analysis, design, development and testing. The testing collects feedback on the dashboard from 35 respondents. The evaluation concludes that the dashboard helps to gain insights and spread awareness regarding road traffic accident cases. The Road Traffic Accident Dashboard will not only serve as a tool for informed decision-making but also facilitate effective communication of itnportant road safety information