Main Article Content
High cost and long travel time are the major problems in the cold chain logistics distribution for fresh agricultural products. To solve this problem, the article proposes an urban distribution path optimization model based on real-time traffc conditions for agricultural products’ cold chain logistic. It uses ant colony optimization algorithms to solve the model and using case study to validate. The results show that cold chain delivery of agricultural products, which is based on real-time traffc information, can effectively reduce the travel time of cold chain delivery and improve customer satisfaction.
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