Behavior-Aware Multi-Modal Trip Planner: Combining GTFS, OSM, and Reinforcement Learning for User-Centric Routing
Urban public transportation systems are widely used, yet most route planning tools primarily optimize objective factors such as travel time or distance, often overlooking subjective aspects of the travel experience such as comfort, crowding, and walking tolerance. As a result, routes that are optimal by technical crite...