大眾捷運系統 (Mass Rapid Transit, MRT) 提供都會區旅客方便快速的
運輸服務，為了維持一定的服務水準，營運機構必須掌握系統的服務績效
與旅客人潮的變化。由於捷運系統具有列車停站型態一致且無對號的特
性，故旅客的搭乘方式非常自由，使得人潮在系統內的移動路徑與搭乘列
車之掌握相當不易。有鑑於此，本研究利用自動收費系統 (Automatic Fare Collection, AFC) 的紀錄，採用旅客實際進入與離開系統之車站與時間，配
合列車實際時刻表，以微觀的方式，逐一模擬旅客在捷運系統內的移動路
徑並將旅客指派至列車上，並藉由全日旅客之模擬結果，計算列車乘載率、
車站人潮變化、旅客候車時間與轉乘時間等各項人流服務指標，提供營運
單位做為評估捷運系統目前的服務水準與績效之參考。本研究以高雄捷運
系統之實際資料進行案例分析，從分析結果可知，本研究所發展的模式可
正確且有效地進行旅客流的模擬，並計算出各項服務指標，有助於營運機
構評估目前之營運績效。

Mass Rapid Transit (MRT) System provides its passengers with convenient
and fast transportation services in the metropolitan area. To maintain a
predetermined level of service, MRT operators should monitor service
performance and the transition of passenger flow in the system. Since MRT
trains typically have the same stopping pattern and no seat assignments,
passengers can freely travel within the system. Consequently, recognizing
passengers’ traveling path and boarding trains becomes crucial. Therefore,
this research developed a microscopic model to simulate passenger flow in MRT
systems. This model first extracted the timestamps and station information of
passengers entering and exiting an MRT system from the Automatic Fare
Collection (AFC). With this information and actual timetables, the model then
determined passengers’ traveling paths and assigned each passenger to an
appropriate train. Based on the simulated results of data from an entire day,
performance indicators such as train load factor, flow fluctuations at stations,
passenger waiting time, and transferring time can be calculated to help MRT
operators evaluate their offered level of service. Empirical data from the
Kaohsiung Rapid Transit Corporation (KRTC) was also collected for a case
study. The results demonstrate that the model could effectively and efficiently
simulate passenger flow for MRT systems. These resulting performance
indicators could also help operators assess their current level of service.