Real-Time Vehicle Emission Monitoring and Location Tracking Framework

  • Eyob Shiferaw AberaEmail author
  • Ayalew Belay
  • Ajith Abraham
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 419)


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 preprocessed, categorized and the information is proposed to be displayed on road users’ mobile phone as well as on computer connected to the Internet.


Vehicle emission monitoring Vehicle tracking Vehicle condition monitoring A-GPS positioning OBD-II 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Eyob Shiferaw Abera
    • 1
    Email author
  • Ayalew Belay
    • 2
  • Ajith Abraham
    • 3
  1. 1.HiLCoE, School of Computer Science and TechnologyAddis AbabaEthiopia
  2. 2.Department of Computer ScienceAddis Ababa UniversityAddis AbabaEthiopia
  3. 3.Machine Intelligence Research Labs (MIR Labs)AuburnUSA

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