Abstract: To address the dispatching decision making demands of multi center, multi level and multi system scenarios during the construction of the dispatching and command center for urban rail transit network, this paper proposed a digital intelligent architecture for urban rail transit line network intelligent dispatching. The paper built a cloud data driven digital intelligent system architecture, designed a multi domain trusted interaction framework for the central domain and edge domain, and developed two level central edge intelligent decision generation applications. By establishing a decision generation mechanism for multi agent interaction, this paper reconstructed the digital intelligent auxiliary decision generation workflow and formed multi scenario adaptive business functions, relying on decision generation methods considering deterministic and uncertain factors as well as distributed edge collaborative decision making optimization approaches. Application results show that, targeting the multi center, multi level and multi subject architecture for line network dispatching, this research enables the orderly collaborative generation of dispatching decisions on the premise of secure cross-domain data interaction throughout the entire network.