International Journal of Scientific Research and Engineering Development

The utilization of AI for better efficiency, comfort, and management is increasing in the domain of smart transportation systems. There are numerous challenges associated with the current bus booking systems, including the prediction of Delays, Inefficient Fleet Management, Static Pricing, and the inability to provide Intelligent Assistance to Customers. In this research, we introduce an AI-powered smart bus booking and management system that makes use of machine learning, natural language processing, GPS technology, and cloud computing technology to provide intelligent transportation services. This framework will utilize linear regression, random forests, gradient boosting, isolation forest algorithms, and naive Bayes for delay prediction, risk assessment for weather conditions, dynamic pricing, predictive maintenance, and sentiment analysis for customer assistance, respectively. The proposed framework will provide an efficient QR ticketing system and will also allow real-time tracking of buses to provide a more efficient and safer transportation management service.

Mrs.M.Vasuki, Dr.T.Amalraj Victoire, B.Gajalakshmi,"An Intelligent Bus Travel Booking and Management System Using Artificial Intelligence" International Journal of Scientific Research and Engineering Development, V9(3): Page(1851-1861) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.