Abstract: Objective: Due to restrictions imposed by urban land planning or line design factors, some rail lines need to commence initial trial operation without depot. In such cases, vehicles must be parked on extremely limited online inspection lines for routine inspection and maintenance. To avoid potential issues associated with manual TSA (train scheduling and arrangement), an automated TSA system is required to fully integrate and reasonably plan the limited resources, meeting the next day departure demands as well as the inspection and maintenance requirements for vehicles out of operation on the current day. It is aimed to realize optimal TSA for online parking inspection lines. Method: The automated TSA system is presented, including its system architecture, functionality modules, and graphical user interface. The arrangement rules, related algorithm logic, and practical experience summarized from actual projects are expounded. Result & Conclusion: The automated TSA system utilizes information and intelligent means for the automated TSA, which are displayed in a visual and graphical format for review and approval by relevant personnel, tackling the ′sting′ in TSA for online parking inspection lines without depot. It provides valuable technical support for complex operation scenarios in specific context. Data simulation experiments and joint commissioning testing in actual projects demonstrate that the automated TSA system fulfils the expected functionality.