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Real Time Estimation of Bus Arrival Time under Mobile Environment

机译:移动环境下总线抵达时间的实时估计

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Recently, several city governments of Korea developed Bus Information Sytem (BIS) as one of initiatives of ITS deployment efforts. The core function of BIS is to deliver the arrival time information of incoming transit bus at every bus station. In this research, we propose a computational model for estimating transit vehicles link travel time from data transmitted through wireless communication channel and outline major components of real BIS server program architecture. Our algorithm is based on a neural network algorithm tailored for each period of the day under mobile environment. In this model, link weights are updated every 7 days in order to provide feedback control based on bias between estimate and real measurement. Our system can be implemented using reasonable space resources and should provide good estimates of bus arrival time.
机译:最近,韩国的几个城市政府开发了总线信息SYTEM(BIS)作为其部署工作的举措之一。 BIS的核心功能是在每个总线站提供传入过境公交车的到达时间信息。在本研究中,我们提出了一种计算模型,用于估计来自通过无线通信信道传输的数据和真实BIS服务器程序架构的概述的数据的链路行程时间。我们的算法基于移动环境下每天的神经网络算法。在该模型中,每7天更新链路权重,以便根据估计和实际测量之间的偏差提供反馈控制。我们的系统可以使用合理的空间资源来实现,并且应该提供公共汽车到达时间的良好估计。

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