International Journal of Science, Engineering and TechnologyAuthors: Vaishnavi Chaudhari, Priti Lahane, Mayuri Daga, Prathamesh Patil, Kailas Adhav
Abstract: Maha Kumbh 2027 at Nashik is expected to attract millions of devotees from around the world. This presents significant challenges in managing transportation, parking, and emergency response. Traditional systems often fail to handle large crowds effectively, resulting in congestion, delays, and security problems. This paper introduces KumbhSahyogi, a GPS-based, AI-powered smart mobility and service management system de- signed to maximize parking allocation, optimize routes, and coor- dinate transportation for large events like the Kumbh Mela. The system includes various features such as real-time parking slot availability, AI-powered route optimization through Dijkstra’s algorithm and congestion heatmaps, multimodal transport inte- gration, and a smart chatbot for user support. The backend uses Node.js and Express along with MongoDB Atlas to manage data securely and effectively. The system greatly improves safety, reduces traffic congestion, and increases user convenience through smart routing, predictive analytics, and instant SOS communication. Experimental testing under simulated event conditions shows faster response times and optimized crowd movement, demonstrating the platform’s potential to efficiently manage large-scale religious and public events.
DOI: http://doi.org/10.5281/zenodo.20698581
