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TRAFFIC SIGNAL STATE PREDICTION CORRECTION AND REAL-TIME PROBE DATA VALIDATION

机译:交通信号状态预测校正和实时探针数据验证

摘要

Methods and systems to improve the accuracy of traffic signal state change predictions (142) are disclosed. Predictions for fixed-time signals are generated based on their scheduled timing plan and the current clock/time (142), but these predictions are subject variations, for example, due to traffic signal controller clock drift (Fig. 2). Real-time actual, not predicted, data is collected and utilized to correct for these variations (Fig. 3). Further, real-time probe data is collected (122) and used to validate correctness (146) of the corrected predictions in real time. In one embodiment, GPS data from travelers' devices (100) is utilized to assess validity of the generated predictions, looking particularly at signal stop line crossings relative to predicted green time window (128), (Fig. 4).
机译:公开了用于改善交通信号状态变化预测的准确性(142)的方法和系统。固定时间信号的预测是基于其计划的时序计划和当前时钟/时间生成的(142),但是这些预测是主题的变化,例如,由于交通信号控制器的时钟漂移(图2)。实时的实际而非预测的数据被收集并用于校正这些变化(图3)。此外,实时探测数据被收集(122),并被用于实时验证校正后的预测的正确性(146)。在一个实施例中,来自旅行者设备(100)的GPS数据被用于评估所生成的预测的有效性,特别是着眼于相对于预测的绿色时间窗口(128)的信号停止线交叉点(图4)。

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