结果实现了车辆排队长度的自动检测。
ResultsAutomatic extraction and analysis of vehicle queue length is achieved.
目的提出一种基于图像处理的车辆排队长度自动检测方法。
ObjectiveTo put forward an automatic extraction and analysis method based on image processing in crossing vehicle queue length.
在分析道路堵塞时交通流特性的基础上，基于改进的停车波与启动波模型，推导出道路堵塞时车辆排队长度和排队持续时间的计算模型，并用实际例子对该方法的有效性进行验证。
Based on the analysis of the characteristics of traffic flow under crowded road, an improved models of parking wave and starting wave were used to calculate queuing length and queuing duration.
仿真研究表明本文提出的方法能够有效地缩小排队长度，从而达到减少车辆延误的目的。
Emulation study shows that the method put forward by the paper can shorten effectively the queueing length, so as to reach the purpose of decreasing vehicle delay.
在自适应模糊控制中，考虑到非机动车辆的影响，根据各相位排队长度，确定绿灯相位的延时时间和下一个最佳绿灯相位。
In the adaptive fuzzy control, the delay time of the green phase and the next best one were on the base of the infection of the non-vehicle and the length of every phase queue.
同时还提出了考虑排队时车辆空间长度以及后续车流到达情况下的红灯排队长度计算公式和车辆排队消散时间计算方法。
It brings up the method of calculating the length queue and evanesce time of queue, while the consideration to vehicles space length and followup car flow arriving in period of the red-light.
同时还提出了考虑排队时车辆空间长度以及后续车流到达情况下的红灯排队长度计算公式和车辆排队消散时间计算方法。
It brings up the method of calculating the length queue and evanesce time of queue, while the consideration to vehicles space length and followup car flow arriving in period of the red-light.
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