Estimation of Average Speed of Road Vehicles by Sound Intensity Analysis.
Estimation of Average Speed of Road Vehicles by Sound Intensity Analysis.
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DOI：
10.3390/s21165337
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发表时间：
2021-08-07
期刊：
影响因子：
--
通讯作者：
Szwoch G
中科院分区：
文献类型：
--
作者：
Kotus J;Szwoch G
道路交通的持续监控是现代智慧城市系统的重要组成部分。该方法利用被动声矢量传感器估计观测期内道路车辆的平均速度。基于声强分析的速度估计是解决上述问题的一种新方法。用放置在路边的传感器测量两个正交轴上的声强。通过1 kHz、2 kHz和4 kHz三个频段的声强分析，估计车辆经过传感器时的视声源位置。计算出的每辆车的位置信号在分析时间框架内取平均值，并使用线性回归计算出平均速度估计。该方法在两个实验中得到了验证，一个是控制车速，另一个是真实的、不受限制的交通。计算出的速度估计值与参考激光雷达和雷达传感器进行了比较。所有实验的平均估计误差为1.4%，最大误差为3.2%。结果证实，所提出的方法允许估计时间平均道路交通速度，其精度足以用于收集交通统计数据，例如在智慧城市监测站。
Constant monitoring of road traffic is important part of modern smart city systems. The proposed method estimates average speed of road vehicles in the observation period, using a passive acoustic vector sensor. Speed estimation based on sound intensity analysis is a novel approach to the described problem. Sound intensity in two orthogonal axes is measured with a sensor placed alongside the road. Position of the apparent sound source when a vehicle passes by the sensor is estimated by means of sound intensity analysis in three frequency bands: 1 kHz, 2 kHz and 4 kHz. The position signals calculated for each vehicle are averaged in the analysis time frames, and the average speed estimate is calculated using a linear regression. The proposed method was validated in two experiments, one with controlled vehicle speed and another with real, unrestricted traffic. The calculated speed estimates were compared with the reference lidar and radar sensors. Average estimation error from all experiment was 1.4% and the maximum error was 3.2%. The results confirm that the proposed method allow for estimation of time-averaged road traffic speed with accuracy sufficient for gathering traffic statistics, e.g., in a smart city monitoring station.
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影响因子：
5.4
作者：
Cevher, Volkan;Chellappa, Rama;McClellan, James H.
通讯作者：
McClellan, James H.
影响因子：
3.4
作者：
Kotus, Jozef;Szwoch, Grzegorz
通讯作者：
Szwoch, Grzegorz
DOI：
10.1155/s1110865704311133
发表时间：
2004-07-01
期刊：
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
影响因子：
--
作者：
López-Valcarce, R;Mosquera, C;Pérez-González, F
通讯作者：
Pérez-González, F
影响因子：
35.6
作者：
Du, Rong;Santi, Paolo;Fischione, Carlo
通讯作者：
Fischione, Carlo
影响因子：
3.6
作者：
Kotus J
通讯作者：
Kotus J