Railway stations, key transportation nodes, frequently have complicated layouts that disorient travelers, leading to delays. Conventional signage alone is not enough for effective navigation, particularly with increasing urban populations. Augmented Reality (AR) becomes a solution, superimposing virtual, step-by-step directions onto actual views through smartphones or AR glasses. This paper explores AR's capability to improve navigation in stations by combining GPS, GLONASS, and adaptive machine-learning algorithms. Both marker-based and markerless AR approaches, combined with real-time locationing, also offer custom guidance. Analytics of learning further refine user engagement, with increased feedback mechanisms as well as operational effectiveness. As such, AR can efficiently handle congestion, enhance accessibility for the disabled, and optimize passenger flows.