Abstract: Objective: When a control equipment failure occurs in urban rail transit, it can lead to varying degrees of train delays. It is necessary to promptly adjust the train operation plans to minimize the adverse impact on the operation. ZC (zone controller) fault scenarios that impact operation significantly are taken as example, the feasibility and effectiveness of an adjustment method for train OEP (operation entire process) is researched and discussed.Method: By considering factors such as train operation safety constraints, station dwell time requirements, speed control strategies for normal and restricted speed conditions, a nonlinear programming model is constructed with the objective of minimizing the total train delay time, and corresponding heuristic algorithms are designed by referring to the problem characteristics.Result & Conclusion: By incorporating the impact of ZC fault scenarios on train operating speed and operating interval control into the model and algorithms, an adjustment plan for train OEP that satisfies various types of train control constraints can be obtained. The application results of the investigated example show that the proposed heuristic algorithm can achieve the nearoptimal solutions in milliseconds, and the statistical indicators such as total delayed trains, maximum delay time at terminal station, and total delay time at terminal station are very close to the results obtained by the mathematical programming solver Gurobi, taking only 0.387% of the solver time. The proposed adjustment method for train OEP in ZC fault scenarios can respond to emergency adjustment decisionmaking needs in real time, thus effectively coordinating the scheduled train operation while fulfilling the purposes of reducing train delay time and total delayed trains.