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A real option methodology to determine the optimal intervention windows for railway infrastructure

机译:确定铁路基础设施最佳干预窗口的实物期权方法

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In this paper, a real option methodology is presented for the determination of the optimal expected time in the future for a railway infrastructure manager to decide what types of interventions, if any, are to be executed. This time is herein referred to as the optimal time to decide to execute an intervention to emphasize that when the time is fixed it is not yet known if interventions will actually be executed. Such a methodology is particularly useful in the management of railway infrastructure that belongs to a multinational freight corridor where multiple railway management organizations are involved. Every time one executes an intervention it can affect the flow of trains on the part of the infrastructure controlled by others. In the methodology an adaptation of the model used to value options in financial engineering using the Black and Scholes differential equation is used. The model enables the valuation of the ability to wait to decide to determine whether or not an intervention should be executed. The methodology is demonstrated by determining the optimal time to decide to execute interventions on a fictive rail corridor for a railway management organization. Use of the methodology is expected to improve the coordination of the execution of interventions on multiple parts of the corridor, and give a period of time in which it is relatively certain that no interventions will be executed.
机译:在本文中,提出了一种实物期权方法,用于确定未来的最佳预期时间,以便铁路基础设施管理者决定要执行的干预类型(如果有)。该时间在本文中被称为决定执行干预的最佳时间,以强调在固定时间时尚不知道是否将实际执行干预。这种方法在管理涉及多个铁路管理组织的跨国货运走廊的铁路基础设施中特别有用。每次执行干预都会影响到其他人控制的基础设施部分的火车流量。在该方法中,使用布莱克和斯科尔斯微分方程对用于对金融工程中的期权进行估值的模型进行了调整。该模型可以评估等待决定是否应执行干预措施的能力。通过为铁路管理组织确定在虚拟铁路走廊上执行干预措施的最佳时间来论证该方法。该方法的使用有望改善走廊多处干预措施的执行协调性,并在一段时间内相对确定不会执行任何干预措施。

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