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In this paper, the problems of random travel time and cold-chain varieties and temperature difference in urban cold chain logistics distribution system are studied. First, we use the cold-accumulating multi-temperature co-distribution to distribute cold chain products with different temperature layers. Then, the vehicle travel time period under different road conditions is treated as a random variable subject to the known distribution, and the random path optimization of the multitemperature cold chain product based on the minimum distribution cost is constructed. In this paper, in addition to the study of time window constraints, the study of the rejection of goods because of cargo damage rate is also studied, so that delivery costs are better and more practical; finally, an example is used to verify the effectiveness of the model. Our results show that the model can be a good application in the dynamic environment of multi-temperature cold chain product optimization, with a certain degree of flexibility. Keywords—Random travel time; multi-temperature codistribution; path optimization

The Route Optimization of Multi-temperature Joint Distribution for Cold-Chain Products under the Condition of Random Driving Time