Spatiotemporal Risk-Aware Patrol Planning Using Value-Based Policy Optimization and Sensor-Integrated Graph Navigation in Urban Environments
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DOI: 10.3390/app15158565
Abstract: This study proposes an intelligent patrol planning framework that leverages reinforcement learning, spatiotemporal crime forecasting, and simulated sensor telemetry to optimize autonomous vehicle (AV) navigation in urban environments. Crime incidents from Washington DC (2024–2025) and… read more here.
Keywords: navigation; sensor; navigation urban; patrol planning ... See more keywords