| 基于多传感器数据GM-PHD滤波算法的列车LED信号灯周期控制 |
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| 引用本文：肖彬.基于多传感器数据GM-PHD滤波算法的列车LED信号灯周期控制[J].计算技术与自动化,2026,(1):84-91 |
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| 中文摘要:随着城市轨道交通的快速发展，列车LED信号灯周期控制的精确性和安全性问题日益凸显。针对传统单一传感器数据控制方法的局限性，提出一种基于多传感器数据GM-PHD滤波算法的列车LED信号灯周期控制方法。该方法首先基于噪声加权机制，将多传感器数据进行融合，以获得列车状态的准确感知；其次利用GM-PHD滤波算法实现列车运行状态的实时更新和预测，以达到目标的精准跟踪；最后将准确的列车运行状态传递给灯控系统，以动态调整LED信号灯周期。实验结果表明，该方法能显著提高列车运行的精确性和安全性，为城市轨道交通系统的优化提供了有效支持。 |
| 中文关键词:多传感器数据 GM-PHD滤波算法 列车LED信号灯 周期控制 状态估计 交通安全 运行效率 |
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| Train LED Signal Light Cycle Control Based on Multi Sensor Data GM-PHD Filtering |
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| Abstract:With the rapid development of urban rail transit, the precision and safety problem of train LED signal light cycle control are increasingly prominent. A train LED signal light cycle control method based on multi-sensor data GM-PHD filtering algorithm is proposed to address the limitations of traditional single sensor data control methods. This method is first based on a noise weighting mechanism, which fuses multi-sensor data to obtain accurate perception of train status. Secondly, the GM-PHD filtering algorithm is used to achieve real-time updates and predictions of train operation status to achieve accurate tracking of targets. Finally, the accurate train operation status is transmitted to the lighting control system to dynamically adjust the LED signal light cycle. The experimental results show that this method can significantly improve the accuracy and safety of train operation, providing effective support for the optimization of urban rail transit systems. |
| keywords:multi sensor data GM-PHD filtering algorithm train LED signal lights cycle control state estimation Traffic safety operating efficiency |
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