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Vehicle Travel Time Prediction in Spatio-temporal Space

机译:时空空间中的车辆行程时间预测

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It is recognized that travel times on a link are temporally correlated with its travel times of previous time periods. Also, the link travel time are spatially correlated by travel times on its neighboring links. Based on such temporal and spatial correlations, a new method is proposed for travel time prediction in urban roads. The proposed method is capable of rapidly predicting the link travel time in the near future. For validation of the proposed method, the temporal and spatial variance-covariance of travel times on related links are employed together with historical travel time data. It is found that the proposed method is able to provide more accurate travel time prediction.
机译:认识到,链路上的行驶时间与前一段时间段的其行驶时间暂时相关。而且,链路行程时间通过在其相邻链路上的行驶时间来空间相关。基于这种时间和空间相关性,提出了一种新方法,用于城市道路的旅行时间预测。所提出的方法能够在不久的将来快速预测链路行程时间。为了验证所提出的方法,相关链路上的行驶时间的时间和空间方差 - 与历史旅行时间数据一起使用。发现该方法能够提供更准确的行程时间预测。

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