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An integrated approach for optimal rail transit corridor identification and scheduling using geographical information system

机译:使用地理信息系统的最佳轨道交通走廊识别和调度的综合方法

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In this work an integrated approach has been proposed to identify and schedule a rail transit corridor in a city which has a potential demand for a new rail based mass transit system besides the street transit system and existing rail-based system (if any). The motivation for the present study comes from the present Indian context where, because of recent initiatives of Central Urban Development Ministry, many Urban Local Bodies (ULBs) and transit agencies need to master plan new rail based systems in an optimum way and at the same time attempting to integrate them with other existing public transport (PT) modes. While aligning the new rail transit system, the primary focus of the integrated approach is to optimize the origin–destination (O–D) travel time of the user and at the same time attempting to minimize the operators’ cost. The proposed rail corridor identification model consists of three stages: public transport demand forecasting, creation of corridor link set, and optimization of rail corridor using Geographical Information System (GIS). The objective function for train scheduling model is fixed as minimization of sum of operating cost of trains (operator cost) and total waiting time cost of passengers boarding the train (user costs) subject to load factor and waiting time constraints. The dwell time of train at stations, which is usually considered constant, has been taken as a variable which depends on the actual number of passengers boarding and alighting the train. The model is applied on Thane municipal corporation (TMC) area, a major urban center of the Mumbai metropolitan region (MMR), India. The maximum peak hour ridership obtained on the identified corridor was found to be ideal for recommending light-rail transit system (LRT). The successful application of the model shows the capability of proposed model for a typical Indian city, which has potential demand for a new rail system.
机译:在这项工作中,已经提出了一种综合方法来识别和调度城市中的铁路运输走廊,该城市除了街道交通系统和现有的铁路系统(如果有)之外,还潜在需要新的基于铁路的大众运输系统。本研究的动机来自当前的印度背景,由于中央城市发展部的最新举措,许多城市地方机构(ULB)和公交机构需要以最佳方式同时规划新的铁路系统试图将它们与其他现有公共交通(PT)模式集成的时间。在调整新的轨道交通系统时,集成方法的主要重点是优化用户的起点至目的地(O–D)的旅行时间,同时尝试使运营商的成本降至最低。拟议中的铁路走廊识别模型包括三个阶段:公共交通需求预测,创建走廊链接集以及使用地理信息系统(GIS)优化铁路走廊。火车调度模型的目标函数固定为受负载系数和等待时间约束的影响,以使火车的运营成本之和(运营商成本)和上车乘客的总等待时间总成本(用户成本)最小。通常将车站的停留时间(通常被认为是恒定的)作为变量,取决于实际上下火车的乘客人数。该模型适用于印度孟买都会区(MMR)的主要城市中心塔那市政公司(TMC)地区。发现在确定的走廊上获得的最大高峰时段乘客量是推荐轻轨交通系统(LRT)的理想选择。该模型的成功应用表明,该模型具有针对典型印度城市的能力,该城市可能需要新的铁路系统。

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