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R-N Algorithm for Crowdsensing On-street Parking Spaces

机译：R-N街道停放空间的众所周央算法

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Parking becomes an insurmountable problem in cities as the usage of cars becomes common and the urbanization trend continues. Many efforts have been made to reduce the parking pressure by developing real-time sensing techniques or big data based parking occupancy prediction models. In this paper, we focus on a crowdsensing solution where ultrasonic sensors are chosen as the detecting devices. An R-N algorithm based on an innovative crowdsensing solution is developed to enhance the detection accuracy. The performance of the proposed R-N algorithm is evaluated by an analytical model. The results prove that the crowdsensing detection accuracy can be improved by employing the proposed R-N algorithm.
机译：停车成为城市的不可逾越的问题，因为汽车的使用变得普遍，城市化趋势持续。 已经通过开发实时感测技术或基于大数据的停车占用预测模型来减少驻车压力的许多努力。 在本文中，我们专注于众包解决方案，其中选择超声波传感器作为检测装置。 开发了一种基于创新众包解决方案的R-N算法，以提高检测精度。 所提出的R-N算法的性能由分析模型评估。 结果证明，通过采用所提出的R-N算法，可以提高众包检测精度。

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