路面网络技术使ITS得以增强

W. Birk, J. Eliasson, P. Lindgren, Evgeny Osipov, Laurynas Riliskis
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引用次数: 16

摘要

对机动性需求的增加导致了交通拥堵、事故和污染等交通问题。为了提供安全和高效的运输系统,目前正在大力发展智能运输系统(ITS)和合作系统。在本文中,我们将提出的解决方案扩展为自动道路传感器和执行器,形成无线路面网络(RSN)。我们提出了RSN架构和设计方法,并演示了它对队列端检测的适用性。对于用例,我们讨论了传感器技术、数据处理和通信的需求和技术解决方案。详细介绍了MAC协议,并通过理论验证对其性能进行了评估。RSN架构提供了一种可扩展的解决方案,其中增加的节点密度提供了更精确的传感,并为安全关键应用增加了冗余。用例表明,RSN解决方案可以作为独立系统部署,有可能集成到当前和未来的ITS中。RSN可以为传统ITS提供易于部署且具有成本效益的替代方案(与其他ITS基础设施(即智能车辆、安全点等)的渗透率无关),并直接从路面向后端和合作系统提供细粒度的感知信息,从而实现超越当前技术水平的广泛ITS应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Surface Networks technology enablers for enhanced ITS
The increased need for mobility has led to transportation problems like congestion, accidents and pollution. In order to provide safe and efficient transport systems great efforts are currently being put into developing Intelligent Transport Systems (ITS) and cooperative systems. In this paper we extend proposed solutions with autonomous on-road sensors and actuators forming a wireless Road Surface Network (RSN). We present the RSN architecture and design methodology and demonstrate its applicability to queue-end detection. For the use case we discuss the requirements and technological solutions to sensor technology, data processing and communication. In particular the MAC protocol is detailed and its performance assessed through theoretical verification. The RSN architecture is shown to offer a scalable solution, where increased node density offers more precise sensing as well as increased redundancy for safety critical applications. The use-case demonstrates that RSN solutions may be deployed as standalone systems potentially integrated into current and future ITS. RSN may provide both easily deployable and cost effective alternatives to traditional ITS (with a direct impact independent of penetration rate of other ITS infrastructures — i.e., smart vehicles, safe spots etc.) as well as provide fine grain sensory information directly from the road surface to back-end and cooperative systems, thus enabling a wide range of ITS applications beyond current state of the art.
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