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Regression-based Approach for Bus Trajectory Estimation

机译:基于回归的总线轨迹估计方法

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The path travel time between trips are proved to be strongly linear correlated, and the regression parameters are gradually converging to a steady value with buses travel on the route. A regression-based method for bus trajectory estimation at downstream stops was proposed, and its performance on estimation accuracy was compared with the historical-based model. The research results show that the proposed regression-based model shows a conditional higher accuracy than the historical-based model on trajectory estimation, and a two-stage model for trajectory estimation was suggested.
机译:总之,跳闸之间的路径行程时间被证明是强烈的相关性,并且回归参数逐渐会聚到路线上的公共汽车行驶的稳定值。提出了一种基于汇流轨迹估计的基于回归的方法,并与基于历史的模型进行了比较了其对估计准确度的性能。研究结果表明,所提出的基于回归的模型显示出比轨迹估计的历史模型的条件更高的精度,并提出了一种用于轨迹估计的两级模型。

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