UrbanTrail an Intelligent Multi-Route Navigation System for Smart Cities

With rapid urbanization and the continuous rise in vehicular traffic, cities like Indore face severe challenges in efficient navigation and route optimization.Existing navigation systems such as Google Maps typically provide a single shortest path based on distance, neglecting key parameters like fuel cost, tolls, road quality, and real-time travel convenience.Moreover, these systems lack support for bilingual accessibility, which limits their usability among non-English users.The proposed solution, Quick Path, is an intelligent, bilingual route-finding application that leverages Dijkstra's Algorithm and K-Shortest Path techniques to generate multiple optimized routes between source and destination points.Each route is evaluated based on travel distance, estimated time (ETA), fuel cost, and toll charges, helping users choose the most suitable option.The platform features a bilingual interface (English and Hindi) for greater inclusivity and a scrollable Google Maps-like interface that allows users to view multiple routes dynamically.The system architecture integrates Java (Spring Boot) for backend computation, MySQL for data management, and Leaflet.js/ Google Maps API for real-time map visualization.By combining algorithmic precision with real-world factors, Quick Path provides an efficient, user-friendly, and data-driven navigation experience.This paper contributes to smart city mobility, supporting sustainable urban transport and digital accessibility under India's Smart City and Digital India initiatives.