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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/478


    Title: 含額外限制式動態用路人均衡模型之研究
    Authors: 李宗益;Chong-Yi Lee
    Contributors: 土木工程研究所
    Date: 2000-06-08
    Issue Date: 2009-09-18 17:06:13 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本研究以Chen and Hsueh (1998a,b)所建構之動態用路人均衡路 徑選擇模型為基礎,延續王中允(1999)、周鄭義(1999)及陳穎俊(1999) 之研究,應用變分不等式理論,探討含額外限制式之動態用路人均 衡路徑選擇模型相關課題及求解方式,所研究之相關課題如下: 1. 以路段流出率為決策變數之動態用路人均衡路徑選擇問題 2. 含路段流出率容量限制動態用路人均衡路徑選擇問題 3. 動態用路人均衡雙邊限制起迄/出發時間/路徑選擇問題演算法績 共計包含一個模型基礎課題及兩個含額外限制式課題。 在構建出以路段流出率為決策變數之動態用路人均衡模型後, 除了以簡單的數值例說明其正確性外,更探討其收斂特性不如原本 以路段流入率為決策變數模型之原因。鑑於此,在含路段流出率容 量限制動態用路人均衡路徑選擇問題中,仍以路段流入率為決策變 數構建此模型,並成功以變數轉換的方式求解此問題。此外,針對 動態用路人均衡雙邊限制起迄/出發時間/路徑選擇問題,構建適合路 徑演算法求解之模型,証明此模型與陳穎俊(1999)所建構之模型為對 等,並得到所發展之路徑演算法(梯度投影法,Gradient Projection Method)較陳穎俊(1999)所提出之路段演算法(Evans 演算法)有較佳之績效。 This thesis, as follow-up study of Wang (1999), Chou (1999) and Y.J. Chen (1999), attempts to further some important issues based on the dynamic user-optimal route choice model formulated using variational inequality approach by Chen and Hsueh (1998a,b). It includes the dynamic user-optimal route choice model formulated with decision variables of link exit flows, the dynamic exit-capacitated user-optimal route choice model, and comparison of the gradient projection method versus the Evans algorithm in the dynamic user-optimal doubly constrained O-D pair/departure time/route choice model. The non-convergence phenomenon in the dynamic user-optimal route choice model formulated with decision variables of link exit flows is more than with decision variables of link inflows (Chen and Hsueh, 1998a). So the dynamic exit-capacitated user-optimal route choice model is formulated with decision variables of link inflows and solved by transforming variable. Moreover, in the dynamic user-optimal doubly constrained O-D pair/departure time/route choice model, computational experience with three test networks indicates that the gradient projection method are in general superior to the Evans algorithm in terms of execution time.
    Appears in Collections:[Graduate Institute of Civil Engineering] Electronic Thesis & Dissertation

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