本研究重點在於透過即時資訊的獲得，發展出一套具月台限制之模糊公車停等系統(Fuzzy Bus Holding System, FBHS)，以期能改善都市地區大眾運輸(Mass Rapid Transit, MRT)轉乘系統。我們透過模糊邏輯發展出一個結合公車與大眾運輸系統之公車停等模型，在此模型中，公車停等策略的主要目標有三個：節省公車停等時間、節省乘客等待時間、節省乘客旅行時間，同時滿足公車月台容量限制式。
為了確保此轉乘系統之執行，使用統計分析研究不同時段公車旅行時間之函數，在轉乘模型中發展出上百個模糊規則，像是尖峰時段、離峰時段、月台容量變數等等，並以此建立大眾運輸轉乘系統。透過全球定位系統(Global Positioning System, GPS)，經由智慧型運輸系統(Intelligent Transportation Systems, ITS)連結車輛管理中心獲得即時交通資訊，並將其作為此動態模型之投入資料。我們推導出效能指數函數，用來當作衡量此系統的效能指標並與即時資料庫做比對。實驗研究結果顯示，FBHS對整合轉運系統中的總乘客等待時間有顯著改善。

This research aims at the fuzzy bus holding system (FBHS) with platform constraints for the Mass Rapid Transit (MRT) transferring system in a terminal station with real-time information in the metropolitan area. We use fuzzy logic to develop a model for MRT with bus system that the goals of bus holding strategies in the model were: reduce bus waiting time, passengers’ waiting time, and passengers’ traveling time, while satisfying bus platform capacity constraints.
In order to enhance the performance of the MRT-Bus transfer system, we develop hundreds of fuzzy rules that use different traveling time functions of buses at different time intervals such as rush hours and off-peak hours, and platform capacity variable, in the transfer models to construct the proposed transfer models in the MRT transfer system. Real-time traffic information acquired by the Intelligent Transportation Systems (ITS) through Global Positioning System (GPS) provided input data for the dynamic models. Performance index functions were derived and served as performance measures to compare with real world data. The experimental result shows that FBHS has significant improvement for the total passenger’s waiting time of the MRT-Bus transfer system.

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