Big data-driven public transportation network: a simulation approach

Abstract With the maturity of big data technology, analyzing residents’ travel habits and tracks has become an important research direction in field intelligent transportation study. In this paper, based on subway bus ride data, a subway-bus double-layer network model was established using complex theory, taking optimal traffic efficiency as goal, structure optimization method is proposed, empirical study conducted Beijing network. study, by adding or deleting station network, obtain efficient structure, goal operation realized, theoretical practical solving problem line planning with enriched.