若要擴展大眾運輸與轉乘系統在各個主要城市內的服務範圍，須結合公車系統並進行改善。本研究透過全球定位系統，經由智慧型運輸系統獲得即時資訊，發展出一結合公車停等策略與公車跳站策略系統，以改善都市地區大眾運輸轉乘系統。在此模型中，主要的目標在於最小化：(1)公車行走時間；(2)公車停等時間；(3)乘客在公車站牌上的等待時間；(4)乘客在公車上的等待時間。
為了確保此轉乘系統之執行，我們運用基因演算法先進行系統參數的設計，最後再運用求取出來的系統參數得出此轉乘系統之最佳解。運用系統模擬軟體建構出實際的大眾運輸轉乘系統，並進行驗算分析作為衡量系統的效能指標。研究結果顯示，公車停等策略與公車跳站策略系統在總體的公車運行及乘客等候時間上有12.26%的改善。

In most major cities, to extend the public transportation with the transfer system needed to connect and develop by the bus. This research aim is to present a model to combine the bus holding and skipping system (BHSS) for Mass Rapid Transit (MRT) and e-bus transferring system by using Global Positioning System and Intelligent Transportation Systems to acquire the real-time information to improve the metropolitan public transfer system. In this BHSS the goal is to minimize: (1) bus traveling time; (2) bus holding time; (3) passengers’ waiting time at the bus stops; and (4) passengers’ waiting time on the bus.
In order to enhance the performance of the MRT-ebus transfer system. First, we use the Genetic Algorithms to determine the parameters of our BHSS, and to find the optimal solution of the proposed BHSS. Second, using simulation software to design the real public transferring system and to analysis and evaluate the system performance index. The result shows that executing the BHSS in the transfer system indeed improve overall performance with 12.26% improvement for the MRT-ebus transfer system.

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