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Vehicle Emission Estimation Based on Video Tracking of Vehicle Trajectories

机译：基于车辆轨迹视频跟踪的车辆排放估算

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Real-time estimation of vehicle emission has practical significance in traffic management and information service. This paper proposes a video-based estimation method of vehicle emission where video installed on the roadside is used to track vehicle trajectories in real time and vehicle specific power (VSP) is applied to estimate vehicle emission. First, vehicle trajectories in a specified road section are obtained by a video-based algorithm. Three key steps of the algorithm include: (1) setting virtual detection lines to extract vehicle feature points in the road section, (2) grouping these points into different vehicles by using the Adaboost classifier, and (3) tracking the points and extracting vehicle trajectories by means of the improved optical flow method. After that, the velocities and accelerations of vehicles are calculated from the obtained trajectory data. Finally, vehicle emission in the specified road section is estimated with the help of the relationship between VSP and base emission rate. Experiments were conducted in a highway section, and the result validated the feasibility of the method.
机译：车辆排放的实时估计在交通管理和信息服务中具有实际意义。本文提出了一种基于视频的车辆排放估算方法，该方法将安装在路边的视频用于实时跟踪车辆轨迹，并应用车辆比功率（VSP）估算车辆排放。首先，通过基于视频的算法获得指定路段的车辆轨迹。该算法的三个关键步骤包括：（1）设置虚拟检测线以提取路段中的车辆特征点;（2）通过使用Adaboost分类器将这些点分组到不同的车辆中;以及（3）跟踪这些点并提取车辆轨迹通过改进的光流方法。此后，从获得的轨迹数据中计算出车辆的速度和加速度。最后，借助VSP和基本排放率之间的关系估算指定路段的车辆排放。在公路路段进行了实验，结果验证了该方法的可行性。

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