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感应式车辆检测技术及交通模糊控制研究

Study of Inductive Vehicle Detection Technology and Fuzzy Traffic Control

【作者】 孔德强

【导师】 曲仕茹;

【作者基本信息】 西北工业大学 , 交通运输规划与管理, 2007, 硕士

【摘要】 目前,交通拥挤问题是世界各国的普遍性问题,它直接影响经济的发展和人们的生活。智能交通系统(ITS)是在不重修道路的情况下解决这一日益严重的问题的有效途径。在ITS中,交通数据采集设备占据重要位置,只有在掌握大量的交通数据的前提下,才可能实现智能交通。车辆检测器就担负着交通数据采集的任务,因而具有重要的研究意义。环形线圈车辆检测器具有性能稳定,性价比高,适应性强等优点,市场应用最为广泛。 本文设计了一种基于DSP的环形线圈车辆检测器,并以此车检器采集的数据为基础,设计了基于车辆排队长度的单交叉口模糊控制器。具体来说,本论文主要开展了如下方面的研究: (1)对交通进行有效的控制必须以采集到正确、实时交通流量信息为基础,为了准确检测车流量,完成了基于DSP的环形线圈车辆检测器的软硬件设计。 (2)在本设计中充分考虑到目前环形线圈车辆检测器的一些问题,如误检率较高、灵敏度变化范围较小、不能存储历史交通数据等,运用软硬件手段加以解决,得到了比较好的效果。 (3)对该检测器进行了验证实验,证明了其正确性和有效性,并对实验结果进行分析;运用阈值滤波方法进行了车辆分类研究,将通过的车辆分成大型、中型和小型及非机动车辆,在对历史交通数据作分析时有一定的现实意义。 (4)运用采集到的交通流量数据,完成基于车辆排队长度的单交叉口模糊控制器的设计,进行了Matlab仿真,并跟定时控制的结果进行了对比。

【Abstract】 Nowadays, the traffic jam has been a widely confronted problem, which influences the development of economy and public life. With no modification to the roads, Intelligent Traffic System (ITS) has been an effective solution to the problem. The equipment taking great responsiblity for acquiring traffic data, is an important component in ITS. Therefore, the research of vehicle detector plays an essential role in supplying sampling data for ITS. The loop vehicle detector has the advantages of stability, high performance-price ratio, and good adaptation, which has been widely used in the market.The software and hardware design of the loop vehicle detector based on DSP are implemented in this paper, which is on basis of the completion of the fuzzy controller at isolated intersection utilizing the data acquired by the detector. Matlab simulation is carried on to test the fuzzy controller. The main research in this thesis is as follows:(1) The real time and precise information data is the foundation of the effective control of traffic. The software and hardware design of the loop vehicle detector based on DSP is accomplished to detect the traffic flow accurately. Experimental results demonstrate the validity of the method.(2) Considering some problems occurred in current loop detector, such as high mistake rate, small range of sensitivity and no data storage device, hardware and software measures are taken to deal with these problem.(3) With the analysis of experimental results, the vehicles are classified to the large, medium, and small types, using the method of threshold filtering, which is beneficial for the analysis of history traffic data.(4) Utilizing the acquired data, complete the design of the fuzzy controller at isolated intersection based on vehicle queue, and compare the results from the Matlab simulation with the timing control results.

  • 【分类号】U495
  • 【被引频次】12
  • 【下载频次】436
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