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首页> 外文会议>1st international conference on transportation information and safety 2011.;vol. 1. >A Combination Algorithm of Freeway Traffic Automatic Incident Detection
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A Combination Algorithm of Freeway Traffic Automatic Incident Detection

机译：高速公路交通事件自动检测的组合算法

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摘要

Traditional methods to detect freeway accidents are simple in theory and practical in operation, but would usually fail to deliver high detection rates and low rates of false alarm. Scholars and researchers, both at home and abroad, are shifting their attention to complicated algorithms (such as Neural Network algorithm). Though improved effectively in theory, these algorithms are less practical, due to their massive data transfer, complicated data processing, and strict requirements for equipment. Therefore, how to build a practical algorithm that is suitable for the current freeway detection equipment and software systems, with the ability to achieve accurate detection results, has triggered a heated discussion in the field of freeway accident detection technologies. Based on the objective of lowering hardware cost and operation expenses and improving detection results, this paper offers an algorithm that combines California algorithm and filter algorithm, by grasping the change patterns of eigenvalues in each algorithm. From simulation studies it is shown that, compared with the single application of either California algorithm or filter algorithm, the combination algorithm can enhance detection rates and effectively reduce false alarm rates without increasing software or hardware expenses.
机译：传统的高速公路事故检测方法在理论上和操作上都很简单，但是通常无法提供较高的检测率和较低的误报率。国内外的学者和研究人员都将注意力转移到复杂的算法上（例如神经网络算法）。尽管这些算法在理论上得到了有效改进，但由于它们的数据传输量大，数据处理复杂且对设备的要求严格，因此实用性较差。因此，如何构建一种适用于当前高速公路检测设备和软件系统，并具有准确检测结果能力的实用算法，引起了高速公路事故检测技术领域的热烈讨论。本着降低硬件成本，降低运营成本，提高检测效果的目的，通过掌握每种算法特征值的变化规律，提出了一种结合加利福尼亚算法和滤波算法的算法。从仿真研究表明，与仅使用加利福尼亚算法或滤波器算法的单个应用程序相比，组合算法可以提高检测率并有效降低误报率，而不会增加软件或硬件费用。

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