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A phase-based smoothing method for accurate traffic speed estimation with floating car data

机译:基于阶段的平滑方法,可利用浮动汽车数据准确估算车速

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摘要

In this paper, a novel freeway traffic speed estimation method based on probe data is presented. In contrast to other traffic speed estimators, it only requires velocity data from probes and does not depend on any additional data inputs such as density or flow information. In the first step the method determines the three traffic phases free flow, synchronized flow, and Wide Moving Jam (WMJ) described by Kerner et al. in space and time. Subsequently, reported data is processed with respect to the prevailing traffic phase in order to estimate traffic velocities. This two-step approach allows incorporating empirical features of phase fronts into the estimation procedure. For instance, downstream fronts of WMJs always propagate upstream with approximately constant velocity, and downstream fronts of synchronized flow phases usually stick to bottlenecks. The second step assures the validity of measured velocities is limited to the extent of its assigned phase. Effectively, velocity information in space-time can be estimated more distinctively and the result is, therefore more accurate even if the input data density is low.
机译:提出了一种基于探测数据的高速公路交通速度估计方法。与其他交通速度估算器相比,它仅需要来自探测器的速度数据,而不依赖于任何其他数据输入,例如密度或流量信息。在第一步中,该方法确定了三个交通阶段的自由流量,同步流量和Kerner等人所描述的大范围移动堵塞(WMJ)。在时空上随后,针对主要交通阶段处理报告的数据,以便估算交通速度。这种两步方法允许将相前的经验特征合并到估计过程中。例如,WMJ的下游前沿始终以近似恒定的速度向上游传播,而同步流相的下游前沿通常会遇到瓶颈。第二步确保测得的速度的有效性仅限于其指定相位的范围。有效地,即使输入数据密度低,也可以更鲜明地估计时空中的速度信息,因此结果更加准确。

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