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Real-time traffic congestion detection using smartphone multi-sensor data and stacked ensemble learning
The methodology offers a cost-effective, privacy-preserving, and interpretable approach for congestion monitoring using ubiquitous smartphone sensors, with real-time, edge-deployable inference and applications in Advanced Traveler Information Systems (ATIS) and intelligent transportation systems in resource-constrained...