| 基于探测车技术和多级模糊模式识别的道路交通状态评价方法 |
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| 引用本文： | 王力,范耀祖,张海.基于探测车技术和多级模糊模式识别的道路交通状态评价方法[J].公路交通科技,2007,24(9):92-95,123. |
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| 作者姓名： | 王力 范耀祖 张海 |
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| 作者单位： | 北京航空航天大学,自动化学院,北京,100083 |
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| 基金项目： | 北京市教委重点学科建设资助项目(BHBJZB-1-5) |
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| 摘 要： | 提出了一种新的多因素道路交通状态评价方法,利用探测技术获取的探测车平均速度、拥堵系数、停车时间比例、加速度噪声和平均速度梯度作为交通拥堵表征量,采用VISSIM仿真方法确定出交通拥堵表征量的阈值,并应用多级模糊模式识别方法实现道路交通状态的评价过程。仿真结果表明:利用探测车技术和多级模糊模式识别方法可以准确方便地实现道路交通拥堵状态的评价,并且能够反映出评估时段内道路交通状态的变化。
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| 关 键 词： | 智能运输系统 道路交通状态评价 探测车 多级模糊模式识别 VISSIM交通仿真 |
| 文章编号： | 1002-0268（2007）09-0092-04 |
| 修稿时间： | 2006-06-11 |
A New Traffic State Evaluation Approach Based on Probe Vehicle and Multi-classification Fuzzy Pattern Recognition |
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| WANG Li,FAN Yao-zu,ZHANG Hai.A New Traffic State Evaluation Approach Based on Probe Vehicle and Multi-classification Fuzzy Pattern Recognition[J].Journal of Highway and Transportation Research and Development,2007,24(9):92-95,123. |
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| Authors: | WANG Li FAN Yao-zu ZHANG Hai |
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| Institution: | School of Automatic Science and Electronic Engineering of Beihang University, Beijing 100083, China |
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| Abstract: | A new multi-factor traffic state evaluation approach is discussed.This approach has two key points.For the first one,probe vehicle is used for acquiring five congestion indexes,including average speed of probe vehicle,congestion index,proportion stop time,acceleration noise and mean velocity gradient,and the value of these indexes is decided using VISSIM.For the second point,multi-classification fuzzy pattern recognition is applied in traffic state evaluation processing.The VISSIM simulation results show that this new approach can evaluate the traffic state efficiently and easily,and can also effectively reflect the variation of traffic state in the evaluation interval. |
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| Keywords: | Intelligent Transport Systems traffic state evaluation probe vehicle multi-classification fuzzy pattern recognition VISSIM simulation |
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