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In light of the escalating volume of data, extracting valuable insights from this data pool is paramount. One critical application lies in traffic accident research, where analysis and prediction of accident patterns and trends are pivotal. By scrutinizing weather conditions, time, age, and location data, traffic management authorities can optimize road layouts and pinpoint accident-prone areas and times, enhancing road safety and preventing accidents. The advent of artificial intelligence (AI) and machine learning (ML) technologies has further widened the scope of big data utilization in accident prevention.
Chen et al. (Wed,) studied this question.
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