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How to Help Johnny to Travel in a Brimming Train?

机译:如何帮助Johnny旅行中风?

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摘要

Indian Railway is the world's largest human transport system which is currently dealing with a lot of problems, such as availability of confirming seats to waiting list passengers and in terms of overbooking. Moreover, there is no such system/regulation in Indian railway that instantly gives accommodation to waiting list passengers during their journey. This paper proposes the Dynamic Seat Allocation Algorithm that we have developed to find seating arrangements in a brimming train despite a waiting ticket. Considering there can be numerous possible seating arrangements, most ideal seating arrangement needs to be abstracted. To do so, we need a single numerical value, variation number (VaNo). It is defined to analyze the cost of the ticket and is used to find the level of comfortability during the journey. VaNo is also used to find seating arrangements for groups.
机译:印度铁路是世界上最大的人类运输系统,目前正在处理大量问题,例如确认席位的可用性,等待名单乘客以及超额预订。此外,印度铁路中没有这样的系统/规则,在旅程中即时致内地提供给等候名单乘客。本文提出了尽管等候票,我们开发的动态座椅分配算法我们开发的是在充满票据中找到座位安排。考虑到可能存在众多可能的座位布置,需要抽出最理想的座位布置。为此,我们需要单一数值,变体数(Vano)。它定义为分析票的成本,用于在旅程中找到舒适性的水平。 Vano还用于找到群体的座位安排。

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