Key enablers influencing the realization of green corridor for the Emergency Vehicles in India using ISM approach

Zaheeruddin, Hina Gupta
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Abstract

The sustainable development of traffic conditions in the urban area is hindered by the improper management of traffic. The characteristics of traffic congestion in the Urban areas vary under the influence of different conditions, such as different day and time of week, count of vehicles on road, causality on road and the parking of vehicles etc. It is necessary to set up the relationships between traffic congestion patterns and those influencing factors, when we conduct macroscopic analysis on the causes of traffic congestion. The bottleneck situation arising out of congestion has made the commuting of Emergency Vehicles(EV) a tedious and tough job. The rationale of this work is to pay heed to the way the Emergency Vehicles commute in order to decline their travel time and provide a clear path. The paper probes into several key issues or key enablers that need to be managed properly in order to have an organised traffic. The work has been carried out on the basis of the previous studies and the discernment of the proficient involved in management of traffic. In this work, a technique named, Interpretive Structure Modelling(ISM) has been employed, for comprehending the hierarchical and contextual affiliation structure amongst the various key enablers.
影响印度使用ISM方法实现应急车辆绿色走廊的关键因素
城市交通管理不善,阻碍了城市交通状况的可持续发展。城市交通拥堵的特征受不同条件的影响,如不同的天数、不同的时段、道路上的车辆数量、道路上的因果关系、车辆的停放情况等。在对交通拥堵成因进行宏观分析时,有必要建立交通拥堵形态与影响因素之间的关系。交通拥堵带来的瓶颈状况使应急车辆的通勤成为一项繁琐而艰巨的工作。这项工作的基本原理是注意应急车辆的通勤方式,以减少他们的旅行时间和提供一个清晰的路径。本文探讨了几个关键问题或关键使能因素,需要妥善管理,以获得有组织的流量。这项工作是在以往研究的基础上进行的,并对参与交通管理的熟练人员进行了甄别。在这项工作中,采用了一种名为解释结构建模(ISM)的技术,用于理解各种关键驱动因素之间的层次结构和上下文关联结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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