Weng Jiancheng, Yuan Rongliang, Wang Ru, Wang Chang
Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.
Comput Intell Neurosci. 2014;2014:174123. doi: 10.1155/2014/174123. Epub 2014 Dec 15.
Real-time traffic flow operation condition of freeway gradually becomes the critical information for the freeway users and managers. In fact, electronic toll collection (ETC) transaction data effectively records operational information of vehicles on freeway, which provides a new method to estimate the travel speed of freeway. First, the paper analyzed the structure of ETC transaction data and presented the data preprocess procedure. Then, a dual-level travel speed calculation model was established under different levels of sample sizes. In order to ensure a sufficient sample size, ETC data of different enter-leave toll plazas pairs which contain more than one road segment were used to calculate the travel speed of every road segment. The reduction coefficient α and reliable weight θ for sample vehicle speed were introduced in the model. Finally, the model was verified by the special designed field experiments which were conducted on several freeways in Beijing at different time periods. The experiments results demonstrated that the average relative error was about 6.5% which means that the freeway travel speed could be estimated by the proposed model accurately. The proposed model is helpful to promote the level of the freeway operation monitoring and the freeway management, as well as to provide useful information for the freeway travelers.
高速公路的实时交通流运行状况逐渐成为高速公路用户和管理者的关键信息。事实上,电子不停车收费(ETC)交易数据有效地记录了高速公路上车辆的运行信息,这为估算高速公路的行驶速度提供了一种新方法。首先,本文分析了ETC交易数据的结构并给出了数据预处理流程。然后,建立了不同样本量水平下的双层行驶速度计算模型。为确保有足够的样本量,使用包含多个路段的不同进出收费站对的ETC数据来计算各路段的行驶速度。模型中引入了样本车速的折减系数α和可靠权重θ。最后,通过在北京几条高速公路不同时段进行的专门设计的现场实验对模型进行了验证。实验结果表明平均相对误差约为6.5%,这意味着所提出的模型能够准确估算高速公路的行驶速度。所提出的模型有助于提升高速公路运行监测水平和高速公路管理水平,同时也能为高速公路出行者提供有用信息。