Objective Train routing adjustment under service disruptions on high-density urban rail transit lines is a complex decision-making challenge. Existing technical studies focus predominantly on theoretical modeling, overly simplify line operational constraints and applicable adjustment measures, and lack practical guidance for actual operational processes and system function construction, necessitating further research on train routing adjustment and execution technology.

Method By analyzing the spatio-temporal impacts of line service disruptions on line-wide train operations, the variation characteristics of transport capacity are distinguished across different stages: initial fault occurrence, impact confirmation, ongoing emergency repair, and degraded operation. The optimal decision-making objectives for train routing adjustments are identified, and an abstract model for deciding train routing changes and generating updated timetables is defined. An automated generation and transition-coupling algorithm for train diagrams is constructed, along with an execution interface method designed for integration with the underlying signaling control system.

Result & Conclusion Based on the existing ATS（automatic train supervision） system, the intelligent train dispatching system developed via the technology can actively monitor fault alarms that may lead to line service disruptions, identify disruption locations, and calculate as well as push decision-making adjustment plans. It guides dispatchers in confirming their selections, rapidly calculates and generates updated train diagrams matching the adjustment objectives, and pushes them to the signaling train control system for execution, thereby enabling intelligent train routing adjustment functions for various types of fault disruption events.