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Smart city article details

Title Smart City Logistics: Leveraging Ai For Last-Mile Delivery Efficiency
ID_Doc 50354
Authors Wang J.
Year 2025
Published 2025 4th International Symposium on Computer Applications and Information Technology, ISCAIT 2025
DOI http://dx.doi.org/10.1109/ISCAIT64916.2025.11010309
Abstract Urban environments face significant challenges in last-mile delivery, which is a crucial component of logistics. To address these challenges, we introduce a framework called Smart City Logistics, utilizing artificial intelligence (AI) to enhance delivery efficiency. The framework optimizes routing and improves resource allocation by analyzing real-time data from multiple sources, including traffic patterns and user preferences. The system employs machine learning algorithms for predictive analytics, enabling it to adjust in response to evolving demand. Furthermore, we investigate the integration of AI with advanced infrastructure, such as smart traffic signals and autonomous delivery drones, fostering a more agile delivery network. Case studies across various cities reveal substantial improvements in both delivery speed and operational costs, showcasing AI's transformative impact on logistics and its potential for sustainable urban delivery solutions. © 2025 IEEE.
Author Keywords Delivery Efficiency; Resource Allocation; User Preference


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