Hu Yannan, Kong Mingming, Zhou Mingsheng, Sun Zhanbo
School of Computer and Software Engineering, Xihua University, Chengdu, Sichuan, China.
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China.
Front Neurorobot. 2023 Jul 28;17:1226125. doi: 10.3389/fnbot.2023.1226125. eCollection 2023.
In the field of Intelligent Traffic Systems (ITS), vehicle recognition is a hot research topic. Although different types of vehicles can already be recognized, further identification and statistics of new energy and fuel vehicles in unknown and complex environments remain a challenging task. In this paper, we propose a New Energy Vehicle Recognition and Traffic Flow Statistics (NEVTS) approach. Specifically, we first utilized the You Only Look Once v5 (YOLOv5) algorithm to detect vehicles in the target area, in which we applied Task-Specific Context Decoupling (TSCODE) to decouple the prediction and classification tasks of YOLOv5. This approach significantly enhanced the performance of vehicle detection. Then, track them upon detection. Finally, we use the YOLOv5 algorithm to locate and classify the color of license plates. Green license plates indicate new energy vehicles, while non-green license plates indicate fuel vehicles, which can accurately and efficiently calculate the number of new energy vehicles. The effectiveness of the proposed NEVTS in recognizing new energy vehicles and traffic flow statistics is demonstrated by experimental results. Not only can NEVTS be applied to the recognition of new energy vehicles and traffic flow statistics, but it can also be further employed for traffic timing pattern extraction and traffic situation monitoring and management.
在智能交通系统（ITS）领域，车辆识别是一个热门研究课题。尽管已经能够识别不同类型的车辆，但在未知和复杂环境中对新能源和燃油车辆进行进一步识别和统计仍然是一项具有挑战性的任务。在本文中，我们提出了一种新能源车辆识别与交通流量统计（NEVTS）方法。具体而言，我们首先利用You Only Look Once v5（YOLOv5）算法在目标区域检测车辆，其中我们应用特定任务上下文解耦（TSCODE）来解耦YOLOv5的预测和分类任务。这种方法显著提高了车辆检测性能。然后，在检测到车辆后对其进行跟踪。最后，我们使用YOLOv5算法定位并分类车牌颜色。绿色车牌表示新能源车辆，而非绿色车牌表示燃油车辆，这可以准确有效地计算新能源车辆的数量。实验结果证明了所提出的NEVTS在识别新能源车辆和交通流量统计方面的有效性。NEVTS不仅可以应用于新能源车辆识别和交通流量统计，还可以进一步用于交通定时模式提取以及交通状况监测与管理。
