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An analysis of transportation demand on GMS network in consideration of error factors

机译:考虑误差因素的GMS网络运输需求分析

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Mekong River is an important river in Greater Mekong Subregion (GMS). To clarify the necessity of developing the Mekong River as a part of the transportation on GMS network, logistic simulation to forecast the demand of freight transport is required. However, detailed data for logistics simulation is not available. Therefore, purpose of this study is to develop the logistic simulation method for demand forecasting of GMS transportation network in consideration of the limitation of the available data and their reliability.rnBasic concept of this study is following points;rn1) GMS area is expressed as a network model and a minimum cost flow model has been applied to find the route of cargo transportation.rn2) Cargo volume between cities and the transportation cost on each route are estimated based on the available data.rn3) Data used in the estimation is not defined as a fixed value but as an indeterminate one.rn4) By using the law of the error propagation and the Monte Carlo simulation, influences of the errors are calculated quantitatively.rnBy comparing the simulation results and the actual data, the validity of the proposed method is evaluated. Moreover, the robustness to develop the Mekong River is discussed by using the proposed simulation method. As a result, the route of Mekong River between Jinghong and Chiang Rai is an effective route to develop for freight transport in Greater Mekong Subregion area.
机译:湄公河是大湄公河次区域(GMS)的重要河流。为了阐明将湄公河开发作为GMS网络交通运输的一部分的必要性,需要进行物流模拟以预测货运需求。但是,没有用于物流模拟的详细数据。因此,本研究的目的是在考虑可用数据的局限性和可靠性的基础上,开发一种用于GMS运输网络需求预测的逻辑仿真方法。rn本研究的基本概念是以下几点; rn1)GMS区域表示为网络模型和最小成本流模型已被用于查找货物运输路线。rn2)根据可用数据估算城市之间的货运量和每条路线上的运输成本.rn3)未定义估算中使用的数据rn4)利用误差传播定律和蒙特卡罗模拟,定量地计算误差的影响。通过比较模拟结果和实际数据,该方法的有效性被评估。此外,通过提出的模拟方法讨论了开发湄公河的鲁棒性。因此,介于景洪和清莱之间的湄公河路线是大湄公河次区域地区发展货运的有效途径。

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