非常态下城市道路交通检测器布局优化方法

Layout Optimization Method of Urban Road Traffic Detectors Under Abnormal State

为了使城市道路上布设的交通检测器能够实时、准确地提供路网动态交通流信息,并最大程度地节约经济成本,通过仿真对交通异常事件下城市道路交通流量和车辆延误进行了估计,并利用模糊聚类分析法、回归分析法和车辆延误估计模型,研究了路网在非常态下的检测器空间位置以及空间密度的布局优化方法;通过一个算例,对提出的检测器布局优化方法进行了验证分析,并得出了算例中检测器布局的优化方案。结果表明:所提出的检测器布局优化方法是可行的。

In order to duly and accurately provide dynamic traffic information of road network for urban road traffic detectors and to save the economic cost to the greatest extent, through simulation, urban road traffic flow volume and vehicle delay were estimated under traffic abnormal accident. Using fuzzy clustering analysis method, regression analysis method and vehicle delay estimation model, a layout optimization method of spatial location of detector and spatial density in the road network under abnormal state was studied. An example was used to analyze layout optimization method of detector in the paper and the optimization program of detector layout in the example was obtained. Results show that the proposed layout optimization method is reliable.