Real time urban traffic prediction using RFID and a hybrid LSTM random forest model.

Figure 1 from 1 presents a scatter plot analyzing the relationship between road safety and congestion across various cities, revealing a high dispersion of data points also a clear trend: cities with congestion levels leading to travel time increases above 30% exhibit a significant rise in accident-related deaths per capita, with some urban areas showing up to a 20% higher fatality rate, emphasizing the critical link between traffic density and safety risks.

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