Smart Parking Management and the Integration 0f Artificial Intelligence into Urban Policy Planning
TL;DR
It is concluded that AI-enabled smart parking represents a critical component of sustainable urban mobility, offering municipalities data-driven tools to optimize spatial resources while balancing efficiency gains with privacy protections and social equity considerations.
Abstract
The rapid urbanization and motorization of global cities have rendered traditional static parking management frameworks increasingly inadequate, contributing to traffic congestion, economic inefficiency, and environmental degradation. This comprehensive review examines the paradigm shift from conventional parking systems to Artificial Intelligence-driven Smart Parking Systems (SPS) and their integration into urban policy planning. The paper systematically analyzes the technical architecture of SPS, encompassing multi-tiered sensor networks including inductive loops, magnetometers, computer vision, and millimeter-wave radar alongside communication protocols such as LoRaWAN and 5G networks. A critical examination of dynamic performance-based pricing mechanisms, grounded in behavioral economics and Pigouvian principles, demonstrates how maintaining 60-80% occupancy rates effectively eliminates cruising traffic. Empirical evidence from the SFpark pilot project reveals significant outcomes: 31% improvement in target occupancy achievement, 12% reduction in parking search times, and 30% decrease in daily greenhouse gas emissions. The review further explores AI's transformative role in urban policy through Digital Twin frameworks and generative analytics, enabling predictive spatial modeling and evidence-based curb-space reallocation. Legal and ethical dimensions are addressed through the European Union's AI Act framework, establishing risk-based governance tiers for public-space AI deployment. Despite technical challenges including sensor reliability and data security, emerging solutions such as blockchain integration and Vehicle-to-Everything communications present promising pathways. This review concludes that AI-enabled smart parking represents a critical component of sustainable urban mobility, offering municipalities data-driven tools to optimize spatial resources while balancing efficiency gains with privacy protections and social equity considerations.