Title: UrbanTrail an Intelligent Multi-Route Navigation System for Smart Cities


Authors: Akshay Jain, Vandana Kate, Chandan Sikarwar, Adarsh Jain, Chanchal Bansal


Published in: Volume 3 Issue 1 Jan June 2026, Page No. 161-167


DOI: 10.63844/IJAITR.v3.i1.2026.161-167 cite


Keywords: Dijkstra’s Algorithm, K-Shortest Path, Smart City, Bilingual Interface, Route Optimization, Intelligent Navigation System, Urban Mobility


Abstract: With rapid urbanization and the continuous rise in vehicular traffi c, cities like Indore face severe challenges in effi cient 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-fi nding 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 Leafl et.js / Google Maps API for real-time map visualization. By combining algorithmic precision with real-world factors, Quick Path provides an effi cient, 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


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