Research on the optimization of underground logistic paths based on the positive and negative bidirectional demand model

Abstract

With the rapid development of e-commerce, urban ground distribution pressure is increasing daily with an increasing number of vehicles transporting goods and worsening urban traffic congestion. As an important public resource for urban transportation, the metro can effectively relieve the pressure on passenger transportation as well as become an active component of urban logistics and distribution operations. In this study, we establish a metro distribution model of urban underground logistics based on the positive and negative bidirectional demand model by exploring a new mode of urban underground logistics combining metro resources and urban logistics to achieve the lowest total cost. In the proposed model, we consider the positive and negative bidirectional logistic demands of each station and solve it using a genetic algorithm. Finally, by analyzing a case study, this paper demonstrates the feasibility and validity of the proposed model and algorithm.