Enhancing Ambulance Traffic Movement: A Data-Driven Approach

In urban environments, emergency medical services are grappling with the challenge of traffic congestion, which can adversely impact patient outcomes by delaying timely medical intervention. To address this growing concern, this study introduces an advanced hospital selection and routing system designed to optimize emergency patient ambulance transport. Leveraging data from various hospitals, we classify their capabilities into three severity levels: Level 1 for minor injuries, Level 2 for medium injuries, and Level 3 for severe cases. The system's primary objective is to match each emergency case with the most appropriate hospital based on severity and then use the A* algorithm, informed by prior research, to predict the optimal route between the accident site and the selected hospital. By integrating these methodologies, we anticipate a significant reduction in ambulance response times, paving the way for enhanced emergency medical services and improved patient outcomes.