Road Network Condition Forecasting for Reefer Logistics
Quelle: https://www.sciencedirect.com/science/article/pii/S2352146522000740
Road Network Condition Forecasting for Reefer Logistics refers to the use of data-driven models and algorithms to predict current and future states of the road network (e.g. traffic volume, road surface condition, weather impact). The goal is to optimize the transport of temperature-sensitive goods in refrigerated vehicles by enabling dynamic route planning, accurate ETA calculations, and seamless cold-chain compliance.
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