Leveraging Pathfinding Algorithms For Efficient Metro Routing and Scheduling

In urban transportation systems such as metro networks, commuter travel routes have become more diversified due to the increasing complexity of network structures, including multiple metro lines, stations, junctions, and convoluted train schedules. This work presents a comprehensive solution that integrates advanced pathfinding algorithms with efficient scheduling techniques to create a seamless metro experience for commuters. The proposed system generates the shortest and most effective routes for commuters as well as administrators. In conjunction with pathfinding, a sophisticated scheduler has been developed to minimize waiting times at stations and to facilitate smooth transitions between metro lines. The synergy between routing algorithms and sophisticated scheduling optimization not only enhances the operational efficiency of metro train lines, but also significantly reduces overall travel time for commuters, which will lead to increased commuter satisfaction.