A Vehicle Monitoring System Based on the LoRa Technique
Air pollution and climate warming become more and more intensified in many areas, especially in urban areas. Environmental parameters are critical information to air pollution and weather monitoring. Thus, it is necessary to develop a suitable air pollution and weather monitoring system for urban areas. In this study, a vehicle monitoring system (VMS) based on the IoT technique is developed. Cars are selected as the research tool because it can reach a greater number of streets to collect data. The VMS can monitor different environmental parameters, including ambient temperature and humidity, and air quality parameters, including PM2.5, NO2, CO, and O3. The VMS can provide other information, including GPS signals and the vibration information through driving a car on the street. Different sensor modules are used to measure the parameters and collect the measured data and transmit them to a cloud server through the LoRa protocol. A user interface is used to show the sensing data storing at the cloud server. To examine the performance of the system, a researcher drove a Nissan x-trail 1998 to the area close to the Da’an District office in Taipei to collect monitoring data. The collected data are instantly shown on the user interface. The four kinds of information are provided by the interface: GPS positions, weather parameters, vehicle information, and air quality information. With the VMS, users can obtain the information regarding air quality and weather conditions when they drive their car to an urban area. Also, government agencies can make decisions on traffic planning based on the information provided by the proposed VMS.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130563Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1956
 Taipei Smart City Accessed on 20/3/2017. http://smartcitypmo-new.4pt.tw/about
 Environmental Protection Administration, R.O.C. Accessed on 20/3/2017. http://taqm.epa.gov.tw/taqm/en/b0201.aspx
 LoRa Alliance™ Technology Accessed on 20/3/2017. https://www.lora-alliance.org/What-Is-LoRa/Technology
 What is the Internet of Things (IoT)? 24/4/2017 http://www.businessinsider.com/what-is-the-internet-of-things-definition-2016-8
 Arduino Mega 2560 Accessed on 21/3/2017 https://www.arduino.cc/en/Main/arduinoBoardMega2560
 GIoT Module GL6509 Accessed on 21/3/2017. http://www.giotnetwork.com/img/dload/datasheet_GIoT-Module.pdf
 SHT11 introduction Accessed on 21/3/2017. https://cdn.sparkfun.com/datasheets/Sensors/Pressure/Sensirion_Humidity_SHT1x_Datasheet_V5.pdf
 Freematics OBD-II Adapter for Arduino Accessed on 21/3/2017. http://arduinodev.com/hardware/obd-kit/
 MQ131 O3 sensor datasheet Accessed on 21/3/2017. http://www.electronicaestudio.com/docs/SHT-114A.pdf
 MiCS-4514 CO/NO2 sensor datasheet Accessed on 21/3/2017. http://files.manylabs.org/datasheets/MICS-4514.pdf
 GP2Y10 TSP sensor datasheet Accessed on 21/3/2017. https://www.sparkfun.com/datasheets/Sensors/gp2y1010au_e.pdf
 One Air A4 PM sensor introduction Accessed on 21/3/2017. http://main.yeetc.com/product/info-102.html
 u-blox 7 GNSS modules Accessed on 21/3/2017. https://www.u-blox.com/en/product/neo-7-series
 IBM Bluemix platform Accessed on 21/3/2017. https://www.ibm.com/cloud-computing/bluemix/zh-hant
 Dong, S., Duan, S., Yang, Q., Zhang, J., Li, G., & Tao, R. (2017). MEMS based Smart Gas Metering for Internet of Things. IEEE Internet of Things Journal.
 Aleixandre, M., Matatagui, D., Santos, J. P., & Horrillo, M. C. (2014, November). Cascade of Artificial Neural Network committees for the calibration of small gas commercial sensors for NO 2, NH 3 and CO. In SENSORS, 2014 IEEE (pp. 1803-1806). IEEE.
 Pacheco, J., & Hariri, S. (2016, September). IoT Security Framework for Smart Cyber Infrastructures. In Foundations and Applications of Self* Systems, IEEE International Workshops on (pp. 242-247). IEEE.
 Deng, Y., Chen, C., Tsow, F., Xian, X., & Forzani, E. (2016, August). Unraveling fabrication and calibration of wearable gas monitor for use under free-living conditions. In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the (pp. 4897-4900). IEEE.
 Lloret, J., Tomas, J., Canovas, A., & Parra, L. (2016). An Integrated IoT Architecture for Smart Metering. IEEE Communications Magazine, 54(12), 50-57.