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Real-Time Vehicle Emission Monitoring and Location Tracking Framework

机译:实时车辆排放监测和位置跟踪框架

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Cars, trucks, and other vehicles typically run on gasoline or diesel, fuels release harmful chemicals in the air. These emissions can create a multitude of problems, including health issues and environmental degradation due to pollution. To reduce these emissions and the problems that they create, it is really important to monitor and control them more frequently. This paper tries to address these issues proposing a real-time vehicle emission monitoring and location tracking framework. The proposed framework uses two main technologies Vehicle On-Board Diagnostic (OBD-II) to monitor vehicle emission information and Assisted Global Positioning System (A-GPS) to get location of the vehicle at real-time. The existing wireless network infrastructure is used in supporting the emission and location data collection on a central server and further processing and presentation of the information is done. To evaluate the operational effectiveness of the developed framework, simulation based experiment is conducted. Real-time vehicle flow on selected roads is conducted using the microscopic simulation SUMO. Within 99 time interval integrated gas emission and location information about individual vehicle at different points of traffic roads is produced. The collected data is pre-processed, categorized and the information is proposed to be displayed on road users' mobile phone as well as on computer connected to the Internet.
机译:汽车,卡车和其他车辆通常在汽油或柴油上运行,燃料在空中释放有害化学品。这些排放可以造成多种问题,包括污染导致的健康问题和环境退化。为了减少这些排放和它们创造的问题,更频繁地监控和控制它们是非常重要的。本文试图解决提出实时车辆排放监测和位置跟踪框架的这些问题。该框架使用两辆主要技术车载车载诊断(OBD-II)来监测车辆排放信息和辅助全球定位系统(A-GPS),以实时获取车辆的位置。现有的无线网络基础架构用于支持中央服务器上的发射和位置数据收集,并进一步处理和呈现信息。为了评估发达框架的操作效率,进行了基于仿真的实验。使用微观模拟相扑进行所选道路上的实时车辆流量。在99个时间内,产生了有关交通道路不同点的各个车辆的集成气体排放和位置信息。收集的数据是预处理的,分类的数据,建议在道路用户的移动电话以及连接到因特网的计算机上显示。

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