AI-Based Freight Delay Prediction and Dynamic Re-Routing System
DOI:
https://doi.org/10.22399/ijcesen.4948Keywords:
Artificial Intelligence, Freight Logistics, Dynamic Routing, Delay PredictionAbstract
The utilization of the latest technologies in the logistics of freight is increasingly based on the necessity to manage the ever-growing complexity of the transportation network and the variability of delays. AI is also a major enabler of freight delay prediction and real-time dynamic re-routing of freight. The paper provides a well-grounded review of the current trend in the research area of AI-assisted freight delay prediction and dynamic re-routing schemes. Using citations from ten recent studies, the review was written about the application of AI to decision support systems, enterprise resource planning, car networks, intelligent transportation, and the logistics of electric vehicles. The paper also describes the implications of 6G communication technologies, sustainability-focused automation, and cold chain logistics on the optimization of freight operations by AI. The findings prove that AI can make all logistics networks more resilient, flexible, and efficient, enabling them to react to disruptions in real time and ensure sustainability and low costs. It is now possible to rely on AI as one of the pillars of the technological revolution in intelligent, autonomous freight due to such advances.
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