This paper presents a stochastic model for predicting freeway traffic speed based on historical data and analyzes the impact of traffic density on accident occurrences, particularly in tunnel environments. It introduces a system for tracking vehicles and detecting shock waves to enhance traffic management and reduce accidents. The proposed system aims to improve prediction accuracy and provide real-time information to drivers about traffic conditions and safety measures.
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