CARE:基于物联网的铁路客运服务和舒适系统

Nitu Gangwar, Tushar Semwal, S. B. Nair
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引用次数: 1

摘要

铁路是世界上使用最广泛的运输方式之一。预计未来几年全球客运量将稳步增长。因此,交通的增长要求相应提高铁路列车上乘客的舒适度和服务。在本文中,我们提出了一种基于物联网(IoT)的系统CARE,用于满足铁路列车上的乘客服务和需求。该系统利用低功耗蓝牙(BLE)技术来跟踪列车内机组人员(移动资源)的位置。设计了一种基于服务到达时间、位置信息和工作负荷因子的在线近距离感知移动(OPAM)多目标资源分配算法,根据乘客的要求分配机组人员。我们通过实验评估了我们的方法的性能,发现它比传统的纯集中式方法要好得多。对于列车和车站之间的场景,提出了一种基于移动代理的解决方案来定位列车内不可用的资源。
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CARE: An IoT based system for passenger service and comfort in railways
Railways constitute one of the most extensively used mode of transportation in the world. The global passenger traffic is expected to grow steadily in the coming years. This growth in traffic thus calls for a corresponding increase in the comfort and service provided to passengers on-board a railway train. In this paper, we propose CARE, an Internet of Things (IoT) based system for catering to passenger services and requests in railway trains. The system leverages the use of Bluetooth Low Energy (BLE) technology to track the location of crew members (mobile resources) within a train. An On-line Proximity-Aware Mobile (OPAM) multi-objective resource allocation algorithm has been devised which on the basis of service arrival time, location information and workload factor, allocates crew members to the requests from the passengers. We have experimentally evaluated the performance of our approach and found it to be far better than the conventionally used purely centralized method. For inter train and station scenarios, a mobile agent based solution has been proposed to locate the resources not available within a train.
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