The Intelligent Transportation System (ITS) has been developed rapidly in recent years. As a significant part of the ITS, the collection of traffic information relies on the detection of vehicles by using various sensors, in which micro-electro-mechanical system (MEMS) sensors have been widely investigated. A representative of MEMS sensors is magnetoresistance sensor with stable performance. However, it is hard to detect very low-speed congested traffic. The MEMS thermopile array sensor currently used for human detection can detect stationary infrared objects, including the ignited vehicles. It could be an alternative to detect the vehicles under heavily congested traffic condition. This paper proposes a traffic flow detection method using such a thermopile sensor by the roadside. Traffic flow data are collected and analyzed through a procedure of data preprocessing, background removal, morphology operation, and vehicle detection. A visual background extractor (ViBE) is used in background removal and a finite-state machine (FSM) is designed to reduce the detection error. Different experiments test the detection method in the absence and presence of high temperature interference. The experimental results indicate that the proposed method can successfully detect the traffic flow and it is suitable for occasions where the ambient temperature differs obviously from the vehicle temperature.

中文翻译：

---

使用热电堆阵列传感器进行交通流量检测

近年来，智能交通系统（ITS）发展迅速。作为ITS的重要组成部分，交通信息的收集依赖于使用各种传感器对车辆的检测，其中微机电系统（MEMS）传感器得到了广泛的研究。MEMS传感器的代表是性能稳定的磁阻传感器。但是，很难检测到非常低速的拥塞流量。目前用于人体检测的 MEMS 热电堆阵列传感器可以检测静止的红外物体，包括被点燃的车辆。在严重拥堵的交通条件下检测车辆可能是一种替代方法。本文提出了一种在路边使用这种热电堆传感器的交通流检测方法。交通流数据通过数据预处理、背景去除、形态学运算和车辆检测的过程进行收集和分析。视觉背景提取器 (ViBE) 用于背景去除，并设计有限状态机 (FSM) 以减少检测误差。不同的实验测试了高温干扰存在和不存在的情况下的检测方法。实验结果表明，该方法能够成功检测交通流，适用于环境温度与车辆温度差异明显的场合。不同的实验测试了高温干扰存在和不存在的情况下的检测方法。实验结果表明，该方法能够成功检测交通流，适用于环境温度与车辆温度差异明显的场合。不同的实验测试了高温干扰存在和不存在的情况下的检测方法。实验结果表明，该方法能够成功检测交通流，适用于环境温度与车辆温度差异明显的场合。