At present, China's rapid development of e-commerce has led to an increase in urban logistics distri- bution, which has aggravated urban traffic congestion. Correspondingly, urban traffic congestion also seriously af- fects the punctuality rate and service level of logistics and distribution. In order to alleviate the traffic congestion caused by logistics, this paper transfers the ground logistics to the underground, proposes the underground logis- tics distribution mode based on the subway, analyzes the transfer time coordination between the underground lo- gistics and the ground logistics, and introduces the time cost penalty function of the accumulation of goods at the ground transshipment point. Based on the lowest total cost as the objective function, an optimization model based on the subway with time window underground logistics path is established. The genetic algorithm is used to opti- mize the path and the algorithm is implemented in MATLAB. Finally, by taking Nanjing as an example, the model is used to obtain the optimal path and the optimal cost scheduling scheme.