The shortest traveling routes assist the emergency vehicles to reach the destination on time, resulting in property damage avoidance and saving human life. The congestion prediction models predict the road traffic levels in advance using machine learning algorithms. The emergency vehicle route selection based on congestion and timing data significantly improves the emergency vehicle preemption performance efficiency.