被动声技术在交通流量测量领域的应用

Application of passive acoustic technology in field of traffic flow measurement

交通指挥决策的重要依据是交通流量,而目前的交通流量测量设备还存在着各种各样的问题,与此相比,作为无源测量的被动声技术具有受外界因素影响较小的特性。分析说明了时空谱合成目标运动分析方法,并用基于小生境的粒子群优化算法对时空谱进行优化。在与传统算法的对比实验中,时空谱合成目标运动分析方法对于单目标和多目标的区分、定位都有着良好的表现,这也说明了被动声技术在交通流量测量领域具有广阔的应用前景。

Traffic flow is considered as an important basis for the traffic command and decision-making, and various problems still exist in the current traffic flow measurement equipment. Compared to this the passive acoustic technology has the characteristic affected less by the outer factors as a passive measurement. The method for multiple target motion analysis is analysed and explained based on a integrated space-time spectum which is optimized through particle swarm optimization（PSO）of niching algorithn. In the tests compared to the traditional algorithms, the method manifests well for the distinguishion and location of single and multiple objects. It＇ s shown that the passive acoustic technology has broad application prospects in the field of the traffic flow measurement.