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Integrated GNSS/DR/road segment information system for variable road user charging

机译:用于可变道路用户收费的集成GNss / DR /道路段信息系统

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摘要

Road User Charging (RUC) is designed to reduce congestion and collect revenue for the maintenance of transportation infrastructure. In order to determine the charges, it is important that appropriate Road User Charging Indicators (RUCI) are defined. This paper focusses on Variable Road User Charging (VRUC) as the more dynamic and flexible compared to Fixed Road User Charging (FRUC), and thus is a better reflection of the utility of the road space. The main issues associated with VRUC are the definition of appropriate charging indicators and their measurement. This paper addresses the former by proposing a number of new charging indicators, considering the equalization of the charges and marginal social cost imposed on others. The measurement of the indicators is addressed by a novel data fusion algorithm for the determination of the vehicle state based on the integration of Global Navigation Satellite Systems (GNSS) with Dead Reckoning (DR) and road segment information. Statistical analyses are presented in terms of the Required Navigation Performance (RNP) parameters of accuracy, integrity, continuity and availability, based on simulation and field tests. It is shown that the proposed fusion model is superior to positioning with GPS only, and GPS plus GLONASS, in terms of all the RNP parameters with a significant improvement in availability.
机译:道路使用者收费(RUC)旨在减少拥堵并收取收入,以维护运输基础设施。为了确定费用,定义适当的道路使用者收费指示器(RUCI)很重要。本文着眼于可变道路用户收费(VRUC),它比固定道路用户收费(FRUC)更具动态性和灵活性,因此可以更好地反映道路空间的效用。与VRUC相关的主要问题是适当收费指标的定义及其度量。本文通过提出一些新的收费指标来解决前者,同时考虑了收费的均等化和对其他人的边际社会成本。指示器的测量通过基于全球导航卫星系统(GNSS)与航位推算(DR)和路段信息的集成的新型数据融合算法来确定车辆状态。统计分析是根据仿真和现场测试,根据所需导航性能(RNP)参数的准确性,完整性,连续性和可用性进行的。结果表明,就所有RNP参数而言,所提出的融合模型优于仅使用GPS和GPS加GLONASS进行定位,并且在可用性方面有显着提高。

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