基于智能手机的智慧城市架构

James Conway-Beaulieu, Austin Athaide, Roozbeh Jalali, K. El-Khatib
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引用次数: 10

摘要

目前,城市地区人口占世界人口的一半以上,据联合国(UN)预测,到 2050 年,随着城市的发展和农村人口的迁移,这一数字预计将上升到 70%。除了空气污染、交通拥堵、健康问题、能源和废物管理等其他重大挑战外,城市环境中不断增加的人口密度要求提供充足的服务和基础设施。智慧城市有望利用信息和通信技术的进步,以多种方式提高居民的生活质量。智能城市有许多应用,但与一些传感器相关的成本限制了智能城市技术的发展。如今,智能手机包含功能强大的传感器,可通过可定制的应用程序进行访问。本文介绍了一种利用智能手机生成的感知数据来改善公共交通系统的架构。该架构可为公交官员提供用户对其系统需求的实时视图、每个公交站点的核算能力以及对新增公交线路的无与伦比的规划能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smartphone-based Architecture for Smart Cities
Urban areas now account for more than half of the world's population, with the United Nations (UN) forecasting that by 2050 this number is expected to rise up to 70 percent as a result of urban growth and migration from rural areas. Increasing population density in urban environments demands adequate provision of services and infrastructure, In addition to other major challenges including air pollution, traffic congestion, health concerns, energy and waste management. Smart cities promise to leverage advances in information and communication technology to improve the quality of life for their residents in a number of ways. There are numerous applications for smart cities but the costs associated with some of the sensors used are limiting the growth of smart city technologies. Today smartphones include powerful sensors which can be accessed through customizable applications. This paper present an architecture for using sensory data generated by smartphones in order to improve the public transportation systems. The architecture provide transit officials a real time view of user demand for their systems, accounting capabilities for each bus stop, and unparalleled planning capability for additional bus routes.
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