论文标题
通过磁性传感器的车辆轨迹跟踪：两车道道路的案例研究
Vehicle Trajectory Tracking Through Magnetic Sensors: A Case Study of Two-lane Road
论文作者
论文摘要
智能运输系统（ITS）迫切需要高效可靠的交通监视解决方案。本文首次提出了一种监视系统，该监视系统利用低成本的磁性传感器沿着道路连续检测和跟踪车辆。该系统使用沿路边和车道边界安装的多个传感器来捕获车辆的运动。实时测量数据是由基站收集的，并处理以产生包括位置，时间戳和速度在内的车辆轨迹。为了使用大量未标记的磁性传感器测量值在道路网络上连续跟踪车辆的挑战，我们首先定义了车辆轨迹跟踪问题。然后，我们提出了一种基于图的数据关联算法来跟踪每个检测到的车辆，并分别设计相关的在线算法框架。我们最终通过实验模拟和现实道路部署来验证性能。实验结果表明，所提出的解决方案提供了一种具有成本效益的解决方案，以捕获车辆的驾驶状态，并以此为基础，形成了各种交通安全和效率应用。
Intelligent Transportation Systems (ITS) have a pressing need for efficient and reliable traffic surveillance solutions. This paper for the first time proposes a surveillance system that utilizes low-cost magnetic sensors for detecting and tracking vehicles continuously along the road. The system uses multiple sensors mounted along the roadside and lane boundaries to capture the movement of vehicles. Real-time measurement data is collected by base stations and processed to produce vehicle trajectories that include position, timestamp, and speed. To address the challenge of tracking vehicles continuously on a road network using a large amount of unlabeled magnetic sensor measurements, we first define a vehicle trajectory tracking problem. We then propose a graph-based data association algorithm to track each detected vehicle, and design a related online algorithm framework respectively. We finally validate the performance via both experimental simulation and real-world road deployment. The experimental results demonstrate that the proposed solution provides a cost-effective solution to capture the driving status of vehicles and on that basis form various traffic safety and efficiency applications.
