Which machine learning technique is MOST commonly used by ridesharing companies to implement dynamic pricing during high-demand periods?

Modern transportation services like ridesharing and flight booking rely heavily on machine learning algorithms to optimize customer experiences and operations. These AI systems analyze countless variables in real-time to make predictions that enhance service quality, pricing, and efficiency. How much do you know about the sophisticated AI that powers your daily commute or travel planning?

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Reinforcement learning algorithms that adjust pricing based on real-time supply-demand patterns and historical data
Simple rule-based systems that double prices whenever ride requests exceed a fixed threshold
Convolutional neural networks analyzing traffic camera footage to determine congestion levels
Random forest models exclusively trained on weather patterns and special events calendars