To address the challenges brought by the expansion of the urban rail transit network,this paper focuses on the problem of how to reduce energy consumption during networked operations,and proposes the establishment of a cloud platform for urban rail transit and the development of a new optimization model for train energy saving.The proposed model significantly enhances the utilization rate of regenerative braking energy by optimizing the train headways across different lines and increasing the overlap in traction and braking scenarios,and thus effectively reduces the energy consumption for the network's operations.Moreover,the network storage function of the cloud platform further promotes the resource sharing and interoperable operations among various lines.This research not only charts a course for the future development of urban rail transit,but also has significant scientific and practical value in terms of resource sharing as well as operation and maintenance management.
维普
万方数据
