• Abhishek Mazi
• Dr. Bablu Kirar

This study presents a data-driven framework for optimizing public transport routes in Vidisha, Madhya Pradesh, focusing on the corridors from Vidisha Station to Ashish Mangal Vaatika and Vidisha Bus Stand. With rising urbanization and increased private vehicle use, congestion and declining public transport efficiency have become major issues. The research integrates GIS, Big Data, OpenStreetMap (OSM), and GPS-based surveys to develop a detailed transport network and analyze travel demand. A multi-objective optimization model using Ant Colony Optimization (ACO) and Genetic Algorithms (GA) is employed to reduce travel time and operational cost while improving coverage and accessibility. Comparative evaluation shows notable improvements over existing routes. The proposed framework supports scalable, data-informed planning for sustainable urban mobility in Vidisha and similar cities.

Public Transport Optimization, GIS, Big Data, OSM, GPS Survey, ACO, GA, Route Planning, Urban Mobility, Vidisha.

"“Optimization of Public Transport Routes using GIS and Big Data: A Case Study in Vidisha Station to Ashish Mangal Vaatika and Vidisha Station to Vidisha Bus Stand”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.b509-b522, December-2025, Available :http://www.jetir.org/papers/JETIR2512167.pdf

"“Optimization of Public Transport Routes using GIS and Big Data: A Case Study in Vidisha Station to Ashish Mangal Vaatika and Vidisha Station to Vidisha Bus Stand”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. ppb509-b522, December-2025, Available at : http://www.jetir.org/papers/JETIR2512167.pdf