Nonlinear reliability of urban rail transit network connectivity based on computer aided design and topology

Abstract

Abstract Rail transit network is the backbone of the transport network. In this article, a topology nonlinear model based on L-space and P-space is proposed to understand the unreliability of urban rail transit network in computer-aided design. The proposed model requires different characteristics of rail transit according to L-space and P-space. The experiment result shows that the degree value of the network is relatively small in the L-space. In the L-space, more than 80% of the nodes have degree 2, and the degree distribution is very concentrated. In P-space, the overall degree value of the network is higher, and the distribution area is wider. Experiment results have proved that the aggregation coefficient of more than 85% of the nodes in the Shanghai rail transit network is 1, which provides a basis for the comparison of different trains and the research on the changes in future urban trains.