SEnTINEL - INtELligent Transport SystEm for Urban Mobility Management in Smart Cities

M. S. Quessada, A. L. Cristiani, Pedro Luis Ranzani Junior, Matheus Leal, R. Meneguette
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引用次数: 3

Abstract

Applications for intelligent transportation systems are springing up to bring many benefits to users during their journey through the use of vehicle traffic monitoring. However, testing and experimenting with real-world environments still poses a challenge for these applications since a realistic scenario of mobility is required. Typically, simulation tools use mobility trails to construct the network topology based on the mathematical formulation of a city mobility model, which attempts to emulate the real mobility of a given city. Another strategy is to use the real route of vehicles traveling to generate the model of mobility of a certain city; however, many studies available in the literature do not use the entire flow of vehicles that circulate in the city, acquiring data only of a small group of vehicles. Thus, in this work we intend to develop an infrastructure that would allow the extraction of the information of mobility from the vehicles of the countryside cities, in real time. This enables not only real-time vehicle monitoring but also the generation of traceability of real-time mobility. The results showed low battery consumption, as well as a low amount of mobile data usage.
面向智慧城市交通管理的哨兵智能交通系统
智能交通系统的应用如雨后春笋般涌现,通过使用车辆交通监控为用户在旅途中带来许多好处。然而,对于这些应用程序来说,在真实环境中进行测试和实验仍然是一个挑战,因为需要一个真实的移动场景。通常,仿真工具使用移动路径来构建基于城市移动模型的数学公式的网络拓扑结构,该模型试图模拟给定城市的真实移动。另一种策略是利用车辆行驶的真实路线来生成某个城市的机动性模型;然而,文献中的许多研究并没有使用在城市中流通的整个车辆流,只获取一小部分车辆的数据。因此,在这项工作中,我们打算开发一种基础设施,允许从农村城市的车辆中实时提取移动信息。这不仅可以实现实时车辆监控,还可以生成实时移动的可追溯性。结果显示电池消耗低,移动数据使用量也很低。
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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