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| 1 | Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial characteristics显示文摘The accurate estimation of road traffic states can provide decision making for travelers and traffic managers. In this work,an algorithm based on kernel-k nearest neighbor(KNN) matching of road traffic spatial characteristics is presented to estimate road traffic states. Firstly, the representative road traffic state data were extracted to establish the reference sequences of road traffic running characteristics(RSRTRC). Secondly, the spatial road traffic state data sequence was selected and the kernel function was constructed, with which the spatial road traffic data sequence could be mapped into a high dimensional feature space. Thirdly, the referenced and current spatial road traffic data sequences were extracted and the Euclidean distances in the feature space between them were obtained. Finally, the road traffic states were estimated from weighted averages of the selected k road traffic states, which corresponded to the nearest Euclidean distances. Several typical links in Beijing were adopted for case studies. The final results of the experiments show that the accuracy of this algorithm for estimating speed and volume is 95.27% and 91.32% respectively, which prove that this road traffic states estimation approach based on kernel-KNN matching of road traffic spatial characteristics is feasible and can achieve a high accuracy. | 徐东伟 王永东 贾利民 张贵军 郭海锋 | 2016 | Journal of Central South University2016，23，9： | 2 |
| 2 | Road traffic states estimation algorithm based on matching of regional traffic attracters显示文摘To effectively solve the traffic data problems such as data invalidation in the process of the acquisition of road traffic states,a road traffic states estimation algorithm based on matching of the regional traffic attracters was proposed in this work.First of all,the road traffic running states were divided into several different modes.The concept of the regional traffic attracters of the target link was put forward for effective matching.Then,the reference sequences of characteristics of traffic running states with the contents of the target link's traffic running states and regional traffic attracters under different modes were established.In addition,the current and historical regional traffic attracters of the target link were matched through certain matching rules,and the historical traffic running states of the target link corresponding to the optimal matching were selected as the initial recovery data,which were processed with Kalman filter to obtain the final recovery data.Finally,some typical expressways in Beijing were adopted for the verification of this road traffic states estimation algorithm.The results prove that this traffic states estimation approach based on matching of the regional traffic attracters is feasible and can achieve a high accuracy. | 徐东伟 董宏辉 贾利民 田寅 | 2014 | Journal of Central South University2014，21，5： | 2 |
| 3 | 基于压缩感知的道路交通参数修复方法研究显示文摘为了解决交通路网中的道路交通检测器大面积发生故障时道路交通参数数据的缺失或异常问题,本文提出了一种基于压缩感知的道路交通参数修复方法.首先对道路交通参数矩阵进行分解和逼近;然后在道路交通参数矩阵进行分解和逼近的基础上,利用压缩感知的理论及方法进行道路交通参数修复,并对基于压缩感知进行道路交通参数修复的过程中所涉及的主要参数进行分析和设定;最后依据实例对基于压缩感知的道路交通参数数据修复算法进行验证.选取北京市典型快速路对该算法进行验证,结果证明,基于压缩感知的道路交通参数数据的修复方法具有高精度,在实际应用中是可行的. | 徐东伟 董宏辉 李海舰 贾利民 | 2013 | 交通运输系统工程与信息2013，13，6： | 1 |
| 4 | 道路交通信息模板的设计方法显示文摘为解决道路交通状态数据的缺失或异常等问题,本文提出了一种道路交通信息模板的有效设计方法。该方法首先对道路交通状态信息的规律性进行了分析,然后基于不同的划分标识对道路交通运行模态进行了有效划分,最后对不同模态下的道路交通状态的规律性信息进行了有效提取,最终实现了道路交通信息模板的有效设计。选取了北京市典型快速路对该方法进行验证,结果证明基于道路交通信息模板修复的道路交通状态数据具有高精度,在实际应用中是可行的。 | 徐东伟 贾利民 孙晓亮 | 2013 | 公路交通科技2013，30，12： | 0 |
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