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A new base stations placement approach for enhanced vehicle position estimation in parking lot

机译:一种新的基站放置方法,用于增强停车场中的车辆位置估计

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In the recent decades, short-range wireless has become of great importance in the applications of Intelligent Transportation Systems (ITS); especially, that serve traffic management and safety. Various approaches are concerned with optimal positioning of a vehicle and Base-Stations (BSs) placement within a specific area. The optimization problem stands as an exhaustive challenge. This paper discuses different approaches for short-range BSs placement with respect to maximizing signal coverage and minimizing error in positioning within a parking lot. An implementation of a number of sample patterns is illustrated. A comparison based on the utilization of the patterns, shows coverage in percentage, average, standard deviation and maximum value of error in estimated positions of vehicles. We propose a new approach which results in improved accuracy and highest performance in positioning and then enhanced tracking of vehicles.
机译:在最近的几十年中,短距离无线在智能交通系统(ITS)的应用中已经变得非常重要。特别是为交通管理和安全服务。各种方法涉及车辆的最佳定位以及特定区域内基站(BS)的放置。优化问题是一个详尽的挑战。本文针对最大范围的信号覆盖和最小化停车场内定位误差,讨论了短距离BS放置的不同方法。示出了多个样本模式的实现。根据这些模式的利用进行的比较显示了覆盖率,平均值,标准偏差和车辆估计位置误差的最大值。我们提出了一种新方法,该方法可提高定位的准确性和最佳性能,然后增强对车辆的跟踪。

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