Smart College Bus Seat Allocation System  Using KNN Classification

Author(s)	M Ratnakar Babu, K.Spandana, C.Anusha, D.Srujana, S.Aishwarya
Country	India
Abstract	-This study proposes an automated bus seat allocation system using the K-Nearest Neighbors (KNN) model to address inefficiencies in manual allocation. By leveraging historical data on enrollment, routes, and boarding patterns, the system classifies students based on travel habits, enabling personalized seat assignments. It adjusts allocations in real-time, optimizing bus usage, improving seat utilization, and enhancing student satisfaction. The system reduces administrative workload and ensures buses are neither underutilized nor overcrowded. This approach promotes a smoother and more organized commuting experience for students.
Keywords	Machine Learning, KNN Classification
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-31
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.34008

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