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  • 學位論文

多車道C型路權之輕軌容量計算架構研發

Development of Light Rail Capacity Computation Framework for C-type Right-of-Way with Multi-Lane Roadway

指導教授 : 賴勇成

摘要


輕軌運輸系統具有鐵路系統高運能、高效率、安全舒適的特性,也兼具了公路系統的靈活性,近年來逐漸受到重視。若以路權型式來區分,可以分為A型、B型、C型路權。其中C型路權輕軌系統成本較為低廉,所需用地面積小,且適合做為城市的流動地標,不失為城市內軌道系統可選擇的彈性方案。然而C型路權輕軌系統面臨到公路車流、路口號誌的影響,進而影響到運轉效率及班距,因此有必要以路線容量為指標,評估系統的最大運能。過去針對C型路權輕軌系統容量之研究僅止於單車道且無優先號誌控制的環境下討論,有鑑於此,本研究將容量模式擴展至多車道環境搭配優先號誌控制之應用,提出完整的容量計算架構,並套用至四種型式的車站及路口。在計算架構裡,共包含了三個模組,其中號誌參數會利用優先號誌模組,以等效時制的概念得出轉換後的綠燈及紅燈時相時間;交通環境參數會利用車道流量分佈模組,得出行駛於輕軌共用車道上的公路車輛數;最終將所有相關參數輸入容量模組,即可計算出路線容量。模型經由VISSIM軟體模擬驗證,結果顯示其可提供優良精確的容量估算,並應用於實際路網之中,以作為實務單位設計、規劃、營運階段時可供參考的依據。

並列摘要


Light rail transit system has the characteristics of high capacity, high efficiency, safety and comfort of railway system, and also has the flexibility of highway system. Therefore, it has been widely promoted in recent years. The system can be categorized into A-type, B-type, and C-type in terms of right-of-way. Among them, C-type right-of-way system has the advantage of low cost, less land requirement and is suitable as a movable landmark of the city, so it is an feasible solution for the rail system in the city. However, the operation of C-type right-of-way system would be affected by road vehicles and traffic signals, which further influence the efficiency and headway. As a result, it is necessary to evaluate the maximum capability of the system by using line capacity as an indicator. Past studies on the capacity for C-type right-of-way are limited to single-lane roadway with fixed signal control. In view of this, this study extends the capacity model to multi-lane roadway environment with priority signal control application, and proposes a complete computation process containing four types of stations and intersection. The capacity framework includes three modules. The signal priority module takes into account the impact from priority signal; the lane flow distribution module determines the traffic flow rate on the shared lane; the line capacity module computes the line capacity. The proposed framework is validated by VISSIM software, and the results show that it can provide excellent and accurate capacity estimation. The capacity framework can be applied to practical operator as a reference for the design, planning, and operation stages.

參考文獻


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