| 基于浮动车车速数据的交通状态实时判别系统和方法 |
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| 引用本文： | 王吟松,王嘉文,张建跃,董秀军,杨晓光.基于浮动车车速数据的交通状态实时判别系统和方法[J].交通与计算机,2011(6):97-102. |
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| 作者姓名： | 王吟松 王嘉文 张建跃 董秀军 杨晓光 |
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| 作者单位： | [1]同济大学交通运输工程学院,上海201804 [2]杭州市公安局交通警察支队,杭州310004 |
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| 基金项目： | 国家高技术研究发展计划（863计划）项目（4tL准号：2008AA11Z205）、工业与信息化产业部2010年电子信息产业发展基金资助项目资助 |
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| 摘 要： | 提出一种交通状态判别方法，使之符合交通状态变化连续性。基于浮动车数据特性分析，考虑交通阻抗及临界跳变现象的影响，通过预判别及二次修正，优化了交通状态判别结果。该方法能有效滤除交通状态参数在阈值附近频繁变化产生的交通状态非正常跳变，同时可以修正异常数据导致的交通状态阶跃，从而优化了交通状态判别结果。构建并实现了基于该方法的实证系统，通过多种指标的验证，表明该方法提高了交通状态发布的准确度。
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| 关 键 词： | 智能交通系统 交通状态 浮动车数据 实时判别 |
A Real-time Traffic Status Identification Method Based on Floating Car Velocity |
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| WANG Yinsong,WANG Jiawen,ZHANG Jianyue,DONG Xiujun,YANG Xiaoguang.A Real-time Traffic Status Identification Method Based on Floating Car Velocity[J].Computer and Communications,2011(6):97-102. |
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| Authors: | WANG Yinsong WANG Jiawen ZHANG Jianyue DONG Xiujun YANG Xiaoguang |
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| Institution: | 1. School of Transportation Engineering, Tongji University, Shanghai 201804, China; 2. Traffic Police Detachment of Public Security Bureau of Hangzhou, Hangzhou 310004, China) |
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| Abstract: | This paper presents a traffic status identification method, which is consistent with the fluctuation of traf fie conditions. Based on the analysis of floating ear data, the consideration of the influence of traffic impedance and critical frequency hopping, the result of discrimination of traffic status is optimized by pre discrimination and double revisions. This methodology can effectively filter out the abnormal distortion of traffic status parameters around the threshold value, and in the mean time modify the phase step of traffic status caused by abnormal data. Thus, the results of discrimination can be optimized. This research establishes a applicable system based on the methodology. By examining the multiple indexes, it promotes the accuracy of the results. |
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| Keywords: | ITS traffic status floating car data real-time identification |
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