篇名：A Cell Probe-based Method for Vehicle Speed Estimation
作者：Chi-Hua Chen*(陈志华)
来源：IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
年份：2020
DOI: 10.1587/transfun.2019TSL0001
文章摘要：
Information and communication technologies have improved the quality of intelligent transportation systems (ITS). By estimating from cellular floating vehicle data (CFVD) is more cost-effective, and easier to acquire than traditional ways. This study proposes a cell probe (CP)-based method to analyse the cellular network signals (e.g., call arrival, handoff, and location update), and regression models are trained for vehicle speed estimation. In experiments, this study compares the practical traffic information of vehicle detector (VD) with the estimated traffic information by the proposed methods. The experiment results show that the accuracy of vehicle speed estimation by CP-based method is 97.63%. Therefore, the CP-based method can be used to estimate vehicle speed from CFVD for ITS.
信息和通信技术提高了智能交通系统（ITS）的质量。通过蜂窝式浮动车辆数据估计（CFVD）比传统方法更具成本效益，更易于获取。本研究提出了一种基于小区探测（CP）的方法来分析蜂窝网络信号（例如，呼叫到达、切换和位置更新），并训练回归模型进行车速估计。在实验中，本研究将车辆检测器（VD）的实际交通信息与所提出方法估计的交通信息进行了比较。实验结果表明，基于CP的车辆速度估计精度为97.63%。因此，基于CP的方法可用于从CFVD估算车辆速度，以用于ITS。
