混合道路状况下基于单片机的汽车智能路径选择系统设计

发布时间：2018-04-23 02:10

本文选题：汽车排队 + 等待时间　；参考：《计算机测量与控制》2014年08期

【摘要】：针对当前汽车在混合道路状况下排队等待时间长的问题,设计并实现了一种混合道路状况下基于单片机的汽车智能路径选择系统,系统采用光电传感器进行汽车速度与间距的测量,采用CCD摄像机获取某路段汽车运行情况图像的视频图像,采用SAA7113视频解码器通过抗混叠滤波、A/D转换成数字图像存储到高性能计算机中,汽车智能路径选择引入最大类间方差算法(OTSU),依据车辆和背景的方差动态确定图像分割阀值,获取排队车辆图像区域,按照视频的时间获取车辆的排队等待时间信息;并对获取的数据信息进行分析和处理,最终实现汽车路径的时间最优或路状最优选择;实验结果说明系统选择路径的车辆排队时间与最优等待时间匹配度达到98%,误差控制在2.5%以内,并且系统具有超高的稳定性,应用前景广阔。
[Abstract]:In order to solve the problem of long waiting time under the condition of hybrid road, a vehicle intelligent path selection system based on single chip microcomputer is designed and implemented. The system uses photoelectric sensor to measure the vehicle speed and distance, and CCD camera is used to obtain the video image of a certain section of the vehicle operation image. The SAA7113 video decoder is used to convert digital images to high performance computer by anti-aliasing filter / A / D filter. The maximum inter-class variance algorithm is introduced into the intelligent path selection of automobile, and the image segmentation threshold is dynamically determined according to the variance of vehicle and background. The queued vehicle image region is obtained and the queue waiting time information is obtained according to the time of the video, and the obtained data information is analyzed and processed to realize the optimal choice of the time or the road shape of the vehicle path. The experimental results show that the matching degree of the vehicle queuing time and the optimal waiting time is 98, the error is controlled within 2.5%, and the system has super stability and wide application prospect.
【作者单位】：安阳师范学院软件学院;
【基金】：国家自然科学基金青年基金项目(41001251)
【分类号】：TP368.12

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