Rationalized Timetabling Using a Simulation Tool: A Paradigm Shift in Indian Railways

IF 1.1 4区 管理学 Q4 MANAGEMENT
K. Anoop, A. M. Reddy, Mandeep Singh Bhatia, A. K. Jain, R. Gopalakrishnan, Merajus Salekin, Samay Pritam Singh, R. V. Satwik, Sudarshan Pulapadi, Chandrashekhar Bobade, I. S. Kumar, Shivasubramanian Gopalakrishnan, K. Appaiah, N. Rangaraj, M. Belur
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引用次数: 0

Abstract

During the year 2020, Indian Railways undertook an extensive timetabling exercise for its entire network. The timetable for its six principal routes known as the golden quadrilateral + diagonals (GQD) was generated using a rail traffic simulation tool. The simulation tool and the methodology had to be customized to handle the complex technical requirements of the GQD network, which spans more than 9,000 km. Challenges related to using and integrating data into the simulator also had to be addressed. This was the first time that a simulation software tool of this kind was used for timetabling in Indian Railways, and hence, there were uncertainties regarding the timely delivery, which gave rise to additional challenges to the overall effort. This paper focuses on these challenges and the managerial and human aspects of this massive timetabling exercise. It also explains how this project leverages the benefits of combining top-down and bottom-up approaches in timetabling and how it sets a new paradigm for network-wide timetabling in Indian Railways. History: This paper was refereed. Funding: This work was supported financially through the Indian Railways–sponsored project titled “Implementing Zero Based Timetabling for Major IR Routes by IIT Bombay through Simulation Model of Mixed Rail Traffic” [Grant RD/0120-WRAIL00-002].
使用模拟工具的合理化时间表:印度铁路的范式转变
在2020年期间,印度铁路公司对其整个网络进行了广泛的时间表编制工作。其被称为黄金四边形+对角线(GQD)的六条主要路线的时间表是使用铁路交通模拟工具生成的。模拟工具和方法必须定制,以处理跨越9000多公里的GQD网络的复杂技术要求。与使用数据和将数据集成到模拟器中有关的挑战也必须得到解决。这是印度铁路第一次使用这种模拟软件工具来制定时间表,因此,在及时交付方面存在不确定性,这给整体工作带来了额外的挑战。本文的重点是这些挑战和管理和人的方面,这一大规模的时间表练习。它还解释了该项目如何利用自上而下和自下而上的时间表方法相结合的好处,以及它如何为印度铁路的全网时间表制定树立了新的范例。历史:本文被审稿。资助:这项工作由印度铁路公司资助的项目“印度理工学院孟买分校通过混合轨道交通模拟模型实施主要IR路线的零基础时间表”提供资金支持[Grant RD/0120-WRAIL00-002]。
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21.40%
发文量
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