高速鐵路運輸之新世代行車控制系統研究;Study on Train Timetables Generation for Taiwan High-Speed Rail System Using Optimization and Agent Technologies

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/64931

Title:	高速鐵路運輸之新世代行車控制系統研究;Study on Train Timetables Generation for Taiwan High-Speed Rail System Using Optimization and Agent Technologies
Authors:	陳德哲;Chen,Te-Che
Contributors:	土木工程學系
Keywords:	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;Timetables;Trainset utilization;Timetable correction;Timetable fluctuation;Timetable crossover;Train headway;Auto train route setting;Notch;Optimization;Intelligent agents
Date:	2014-08-11
Issue Date:	2014-10-15 14:34:22 (UTC+8)
Publisher:	國立中央大學
Abstract:	高速鐵路運輸與其他運輸模式之最大不同，在於運行速度快、可滿足同時運輸眾多旅客，以及嚴格的定時運行性，也就是列車要依時刻表來運行不能誤點或提早。而臺灣高速鐵路每日平均載客量達10萬人次、假日達16萬人次以上，每當遇到異常狀況及災害時，所需面對之運行狀態及延誤時間、災損情況、旅客疏散救援、運轉調度，以及搶修復原動作等，皆需要當時即時之列車運行相關資訊，因此，如何協助列車調度指令員快速恢復正常時刻表的方法，為本論文研究的重點。近年來，日本、歐美相關學術研究單位，積極研發新世代行車控制系統，主要目的是強化列車調度功能，在事故發生時造成的時刻表混亂，可使用電腦自動進行運轉整理，立即提供預測結果，希望能和有豐富經驗的列車控制員想要做到的結果相近，以達輔助或教育新進列車控制員的效果。為解決這個問題，本研究首先應用歐系高鐵行之有年的最佳化技術，設計出台灣高鐵的時刻表，與現行時刻表技術不同處，在於現行做法為移植日本新幹線系統，未考慮列車從基地調度等問題，本研究之最佳化模式除可產生實際時刻表外，也可考慮將來新設車站等延伸因素；其次，本研究以此時刻表為基底資料，結合智慧型代理人技術，藉由高鐵系統實際運作參數，設計輔助行控中心、列車駕駛、基地列車管理員之間的溝通模式與系統，使得台灣高鐵在緊時事故發生時得以妥善安排列車調度，最後並驗證產生的時刻表與代理人溝通訊息，期望能強化台灣高鐵緊急事故應變的能力。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. Key words: Timetables; Trainset utilization; Timetable correction; Timetable fluctuation; Timetable crossover; Train headway; Auto train route setting; Notch; Optimization; Intelligent agents.
Appears in Collections:	[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

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