This invention describes a system that predicts real-time estimated arrival times for scheduled appointments involving vehicles and drivers. It works by gathering vehicle locations, traffic conditions, and appointment schedules, then uses a series of software algorithms to first estimate appointment statuses, calculate travel times using geographical reachability maps, and finally combine these to determine precise arrival times. The system can then automatically update schedules or reassign drivers based on these predictions.
Why it matters: Filed before advanced predictive AI models were widely accessible. The claims cover using multiple models for real-time ETA, a task now significantly streamlined by modern machine learning platforms and cloud services.
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