| 基于离散时间信号相关性的交通事件检测算法 |
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| 引用本文： | 孙倩,郭忠印.基于离散时间信号相关性的交通事件检测算法[J].同济大学学报(自然科学版),2018,46(11):1508-1513. |
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| 作者姓名： | 孙倩 郭忠印 |
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| 作者单位： | 同济大学 道路与交通工程教育部重点实验室， 上海 201804,同济大学 道路与交通工程教育部重点实验室， 上海 201804 |
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| 基金项目： | 国家自然科学基金（71673201） |
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| 摘 要： | 提出了基于离散时间信号相关性的自动交通事件检测算法.将交通信息数据转化为离散时间信号并进行相关性计算,有效定位通过上、下游截面的同一组交通流.解释了互相关系数的特征,并采用仿真数据进行性能验证.结果表明:基于离散时间信号相关性的自动交通事件检测算法具有可视性且易于理解,在低饱和交通环境下表现依然稳健,具有很好的适应性.
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| 关 键 词： | 交通事件 信号处理 信号相关性 |
| 收稿时间： | 2017/12/2 0:00:00 |
| 修稿时间： | 2018/9/10 0:00:00 |
Automatic Traffic Incident Detection Algorithm based on Discrete Time Signal Correlation |
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| SUN Qian and GUO Zhongyin.Automatic Traffic Incident Detection Algorithm based on Discrete Time Signal Correlation[J].Journal of Tongji University(Natural Science),2018,46(11):1508-1513. |
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| Authors: | SUN Qian and GUO Zhongyin |
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| Institution: | Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China and Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China |
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| Abstract: | An automatic traffic incident detection algorithm based on discrete time signal correlation was proposed. Traffic information data were converted to discrete-time signals and the correlation was calculated to locate the same traffic stream passing the upper and lower sections. The characteristics of correlation coefficients was explained. The results show that the algorithm is visual and easy to understand. The algorithm performs well under low-saturated traffic conditions and has better adaptability. |
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| Keywords: | traffic incident signal processing signal correlation |
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