The Sentient Parking Grid: AI-Driven Self-Organizing Spaces for Dynamic Urban Mobility
DOI:
https://doi.org/10.63282/3050-922X.AECTIC-113Keywords:
Sentient Parking Grid, Swarm Intelligence, Predictive Space Morphing, Adaptive Infrastructure, Urban Mobility, Facility Management, Dynamic Parking SystemsAbstract
This paper presents the Sentient Parking Grid, an innovative AI-driven system designed to optimize urban parking through self-organizing spaces. Leveraging swarm intelligence, the system enables dynamic coordination among autonomous vehicles and infrastructure to maximize space utilization. Predictive space morphing anticipates demand fluctuations, allowing real-time adaptive reconfiguration of parking layouts. The integration of adaptive infrastructure supports seamless interaction between vehicles and environment, enhancing efficiency and user experience. This approach addresses urban mobility challenges by reducing congestion and improving facility management. Simulation results demonstrate significant improvements in space efficiency and operational flexibility. The Sentient Parking Grid exemplifies a transformative step toward smart cities with responsive, intelligent urban systems.
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