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Geolocation Process to Perform the Electronic Toll Collection Using the ITS-G5 Technology

机译:使用ITS-G5技术进行电子收费的地理定位过程

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摘要

Recent research in intelligent transportation system focus on different possible use cases. Among them are the payment applications with cooperative intelligent transport system (C-ITS) equipment. In this paper, we deal about the tolling application performed with the C-ITS equipment. These latter use the ITS-G5 technology, the Roadside Unit (RSU) and the on-board unit (OBU) with features specified by the standardization Institute ETSI. To perform this service, we highlight two mains requirements: how to have a reliable geolocation of the vehicle when it crosses the tollgate and how to secure the communication during the transaction process. In this paper, we will address the methods that is propose to solve the issue of geolocation. The proposed method takes advantage of the communications data. It uses the principle of Differential - GPS mixed with Kalman filtering and extended Kalman filtering applied to the GPS and CAN bus measurements received by the RSU from the connected vehicles. The kinematic of the vehicle is taken into account to choose the suitable system model. Here as novelties, we discuss about the whole procedure to perform the geolocation process during the tolling service and we have results when we apply the dynamic model according to the real behavior of the vehicle when approaching and crossing the toll station.
机译:智能交通系统的最新研究集中于不同的可能用例。其中包括带有协作智能运输系统(C-ITS)设备的支付应用程序。在本文中,我们讨论了使用C-ITS设备执行的收费应用。后者使用ITS-G5技术,路边单元(RSU)和车载单元(OBU),并具有标准化协会ETSI规定的功能。为了执行这项服务,我们强调了两个主要要求:如何在车辆穿过收费站时对车辆进行可靠的地理位置定位,以及如何在交易过程中确保通信的安全。在本文中,我们将解决提出的解决地理定位问题的方法。所提出的方法利用了通信数据。它使用差分原理-GPS混合了卡尔曼滤波和扩展卡尔曼滤波,应用于RSU从相连车辆接收的GPS和CAN总线测量中。考虑车辆的运动特性以选择合适的系统模型。在这里,作为新颖性,我们讨论了在收费服务期间执行地理定位过程的整个过程,并且当我们根据接近和穿越收费站时车辆的实际行为来应用动态模型时,我们会得到结果。

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