Experimental Evaluation based on a Technology Acceptance Model for the Use of Congestion Mitigation Applications

This study proposes a web application that manages and optimizes user movement in real time to reduce congestion and the risk of crowd-related accidents at tourist sites, event venues, and evacuation areas during disasters. The application features a navigation system utilizing checkpoints, guiding users step-by-step toward their destination to prevent crowding at specific routes or locations. By employing Dijkstra’s algorithm, it calculates optimal routes based on congestion levels and the capacity of each checkpoint, enabling personalized route recommendations. In the event of a disaster, the system dynamically optimizes evacuation routes to support safe and efficient evacuation. User behavior data and congestion information are continuously recorded and analyzed to enhance system accuracy and optimize capacity settings. This system is expected to contribute to solving societal issues such as promoting sustainable tourism, preventing crowd accidents in urban areas, and supporting evacuation during emergencies.