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Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach

机译:印度最佳电子收费系统的选择:主观-模糊决策方法

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Present study deals with the adoption of newer technologies for developing nations. Most of the developing countries due to lack of resources perform techno-socio-economic analyses on the already existing models of the developed ones. Such adopted technologies may not perform effectively because of unlike socio-economic factors. Hence, it becomes important to select new technologies based on appropriate and suitable criteria with respect to a particular country. In this paper, we have demonstrated selection of optimal electronic toll collection (ETC) system for India. In this context, we have considered thirteen crucial parameters for selection of appropriate ETC system. Cost is found to be the pivotal selection criterion in India. Further, fuzzy logic based MADM (multiple attribute decision making) approach is employed for selection of optimal ETC system for India. RFID-based (radio frequency identification) ETC is found to be the most suitable alternative among all considered ETC technologies. Our results are in strong agreement with the report of apex committee, appointed by "Government of India (Ministry of Road Transport & Highways)" for implementation of ETC in India.
机译:当前的研究涉及为发展中国家采用更新的技术。由于缺乏资源,大多数发展中国家对发达模型的现有模型进行了技术社会经济分析。由于不同的社会经济因素,此类采用的技术可能无法有效执行。因此,根据特定国家的适当标准选择新技术变得很重要。在本文中,我们演示了印度最佳电子收费系统(ETC)系统的选择。在这种情况下,我们已经考虑了13个关键参数,以选择合适的ETC系统。在印度,成本是关键选择标准。此外,基于模糊逻辑的MADM(多属性决策)方法被用于选择印度的最佳ETC系统。在所有考虑的ETC技术中,基于RFID的(射频识别)ETC被认为是最合适的选择。我们的结果与“印度政府(公路运输和公路部)”任命的最高委员会在印度实施ETC的报告完全吻合。

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