Road-Side Unit Anomaly Detection

IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium Pub Date : 2023-10-20 DOI:10.3390/vehicles5040080

Mohamed-Lamine Benzagouta, Hasnaâ Aniss, Hacène Fouchal, Nour-Eddin El Faouzi

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Abstract

Actors of the Cooperative Intelligent Transport Systems (C-ITS) generate various amounts of data. Useful information on various issues such as anomalies, failures, road profiles, etc., could be revealed from the analysis of these data. The analysis, could be managed by operators and vehicles, and its output could be very helpful for future decision making. In this study, we collected real data extracted from road operators. We analyzed these streams in order to verify whether abnormal behaviors could be observed in the data. Our main target was a very sensitive C-ITS failure, which is when a road-side unit (RSU) experiences transmission failure. The detection of such failure is to be achieved by end users (vehicles), which in turn would inform road operators which would then recover the failure. The data we analyzed were collected from various roads in Europe (France, Germany, and Italy) with the aim of studying the RSUs’ behavior. Our mechanism offers compelling results regarding the early detection of RSU failures. We also proposed a new C-ITS message dedicated to raise alerts to road operators when required.

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路边单元异常检测

协作智能交通系统(C-ITS)的参与者产生不同数量的数据。对这些数据的分析可以揭示有关异常、故障、道路概况等各种问题的有用信息。分析结果可以由操作员和车辆进行管理，其输出结果可以为未来的决策提供非常有用的帮助。在本研究中，我们收集了从道路运营商提取的真实数据。我们分析这些流是为了验证是否可以在数据中观察到异常行为。我们的主要目标是一个非常敏感的C-ITS故障，即路边单元(RSU)经历传输故障。这种故障的检测是由最终用户(车辆)完成的，这反过来会通知道路运营商，然后恢复故障。我们分析的数据是从欧洲(法国、德国和意大利)的多条道路上收集的，目的是研究公路交通单位的行为。我们的机制在RSU故障的早期检测方面提供了令人信服的结果。我们还提出了一个新的C-ITS信息，专门在需要时向道路操作员发出警告。

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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IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium

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