關鍵字：時刻表、列車計畫、時刻改正、波動計畫、交叉時隔時分、運轉時隔、 列車自動路徑設定、固定列車間隔、最佳化技術、代理人技術。 ;As more and more governments are planning or constructing high-speed rail (HSR) systems, the central control mechanism of such systems, i.e., train timetables, should be investigated more in order to cope with various disturbances due to a disaster. Several optimization-based approaches have been successfully utilized for generating stable and reliable train timetables; however, few researchers have considered train circulation issues, especially for HSR systems, even though it could be such a way to reschedule the timetable against disturbances. This research proposed a scheduling optimization model that has the capability to accommodate not only basic requirements but train circulation as well for Taiwan HSR system. The intelligent agent technology was integrated with the optimization model proposed, so that the communication between train drivers, the control center, and the depot managers can be formalized and managed. Actions that can be taken to mitigate the impact of a disaster can be predicted. With proper enhancement, the proposed model could be a good simulation tool to help predict the effect of disruptions on the timetable without doing real experiments.