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This is a Quantitative Study study.

October 12, 2025MathematicsOpen Access

AI-Driven Optimization for Efficient Public Bus Operations

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Machine learning optimization improves financial and operational performance in public bus systems, indicating key efficiency strategies.

Cutting personnel costs has the most significant effect on net income, followed by administrative and financial expenses.
The support vector regression method achieved an impressive R2 = 0.99, indicating excellent model generalization for predictive accuracy.
Scenario simulations assessed the impact of service adjustments on financial performance, showcasing the framework's robustness.
The framework underscores the potential of data-driven strategies to enhance operational performance in public transport systems.

Ku et al. (2025) studied this question.

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