IoT-Based Intelligent Logistics Systems in Smart Cities: A Review of Architectures, Optimization Techniques, and Applications
Abstract
Abstract. The rapid growth of urban populations and the expansion
of e-commerce have significantly increased the complexity of logistics
operations in modern cities. Smart city initiatives increasingly rely on
Internet of Things (IoT) technologies to develop intelligent logistics systems
capable of improving delivery efficiency, reducing congestion, and
minimizing environmental impact. This paper presents a comprehensive
review of IoT-based intelligent logistics systems within smart cities. The
study examines key architectural frameworks, communication technologies,
optimization techniques, and practical applications in urban logistics.
Furthermore, the paper explores recent developments in artificial
intelligence, data analytics, and vehicular communication technologies
that enable real-time decision-making in logistics networks. The analysis
highlights the integration of IoT, AI, and autonomous systems for
improving route optimization, fleet management, and last-mile delivery
operations. Finally, research challenges and future directions for intelligent
logistics systems in smart cities are discussed.
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