Cover
Vol. 10 No. 2 (2014)

Published: December 31, 2014

Pages: 55-63

Original Article

Vehicle Remote Support and Surveillance System

Abstract

the proposed design offers a complete solution to support and surveillance vehicles remotely. The offered algorithm allows a monitoring center to track vehicles; diagnoses fault remotely, control the traffic and control CO emission. The system is programmed to scan the on-board diagnostic OBD periodically or based on request to check if there are any faults and read all the available sensors, then make an early fault prediction based on the sensor readings, an experience with the vehicle type and fault history. It is so useful for people who are not familiar with fault diagnosis as well as the maintenance center. The system offers tracking the vehicle remotely, which protects it against theft and warn the driver if it exceeds the speed limit according to its location. Finally, it allows the user to report any traffic congestion and allow s a vehicle navigator to be up to date with the traffic condition based on the other system’s user feedback.

References

  1. Ying-Shing Shiao, Chih-Chi Li, Sung-Huan Yang, Shun-Hua Lin, and Chun-Yi Lin Chin E. Lin, "Real-Time Remote Onboard Diagnostics Using Embedded GPRS Surveillance Technology," IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 56, no. 3, pp. 1108-1118, May 2007.
  2. Wang Quanqi, Wang Jian, and Wang Yanyan, "Design of vehicle bus data acquisition and fault diagnosis system," in International conference on Consumer Electronics,Communications and Networks, Xianning, China, 16-18 April 2011, pp. 245-248.
  3. Chin E. Lin, Chih-Chi Li, and Sung-Huan Yang, "Development of On-Line Diagnostics and Real Time Early Warning System for Vehicles," in Sensors for Industry Conference, Houston, Texas, USA, 8-10 Feb. 2005, pp. 45-51.
  4. R. Rathinakumar and D. Manivannan, "Wireless Accident Information System Using GSM and GPS," Research Journal of Applied Sciences, Engineering and Technology, vol. 4, no. 18, pp. 3323-3326, Sep. 2012.
  5. Dada O. A., Akinwonmi F. C., Kuboye B. M., "GSM Base Stations Location Monitoring using Geographic Information System," International Journal of Computer Network and Information Security(IJCNIS), vol. 5, no. 8, pp. 39-45, June 2013.
  6. Kunal Maurya, Mandeep Singh, and Neelu Jain, "Real Time Vehicle Tracking System using GSM and GPS Technology- An Anti-theft Tracking System," International Journal of Electronics and Computer Science Engineering, vol. 1, no. 3, pp. 1103-107, Aug. 2012.
  7. khan Abid and Mishra Ravi, "GPS – GSM Based Tracking System," International Journal of Engineering Trends and Technology, vol. 3, no. 2, pp. 161-164, 2012.
  8. Francis Enejo Idachaba, "Design of a GPS/GSM Based Tracker for the Location of Stolen Items and Kidnapped or Missing Persons in Nigeria," ARPN Journal of Engineering and Applied Sciences, vol. 6, no. 10, pp. 56-60, OCT. 2011.
  9. "Bluetooth OBD-II Interface Adapter," http://ahdesign.us/blog/obdii/Bluetooth_OBDII_Manual.pdf.
  10. "Road vehicles —Communication between vehicle and external equipment for emissions-related diagnostics," British standard, BSI Standards BS ISO 15031-5, 2006.
  11. "STN1110 specifications," http://www.obdsol.com/stn1110/.
  12. Hu Jie, Yan Fuwu, Tian Jing, Wang Pan, and Cao Kai, "Developing PC-Based Automobile Diagnostic System Based on OBD System," in Power and Energy Engineering Conference (APPEEC), Asia-Pacific, 28-31 March 2010, pp. 1-5.