Automated Driving License Evaluation

Authors

  • Gopinath A R  Associate Professor, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Aishwarya S S  B.E. Scholar, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Lakshmi K R  B.E. Scholar, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Lakshmi Devi M S  B.E. Scholar, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India
  • Divya Bharathi H Y  B.E. Scholar, Department of Computer Science and Engineering, Nagarjuna College of Engineering and Technology, Bangalore, India

DOI:

https://doi.org/10.32628/IJSRST2183208

Keywords:

Hardware Simulator, Automation, Database, Sensors

Abstract

The paper is regarding the automating of driver’s license testing system and updating the results to the person through website and conjointly through registered email. Usually, while driving test the person who requested for license have to be compelled to show his driving skills ahead of the authorities. The person need to operate the vehicle according to several rules. If he fails, he/she are knocked out and have to appear for the driving test next time. The Officials observe mistakes of the applicant physically. The proposed solution for the automation of existing manual test method permits the elimination of intervention of humans and improves the accuracy of driving test thereby going paperless, with Driving Skill Evaluation System. In the proposed system, we have a tendency of taking data from sensor as inputs from hardware simulator and stores into the database. In this system, the person participating in the test are obsereved by sensors. Therefore weather the person is qualified or not is informed to the applicant as well as the authorities. Gradual increase in number of road hazards are due to less practice in driving and illegal driving license given to the unskilled drivers by taking bribe. To beat this drawback, automated driving license test will be advantageous. This solution is introduced for ensuring the quality in approving in license to enhance safety.

References

  1. Sarathkumar, C. K. Sathish Kumar, S. Nithya, E. Thilagavathi, “Automatic Two Wheeler Driving Licence System by Using LabView”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 5, Issue 4, April 2016.
  2. Rashmi Konapanavar.et.al. Int. Journal of Engineering Research and Application http://www.ijera.com ISSN: 2248-9622, Vol. 7, Issue 7, ( Part -2) July 2017, pp.46- 49.
  3. Pooja Jadhav, Akshata Thorat, Jayashri jagtap, “Smart Driving Test Track”, Department of Electronics and Telecommunication Engineering of Annasaheb Dange College of Engineering and Technology, Ashta, Maharashtra, India.
  4. Komal A. Margale, Priyanka M. Pawale, Amruta A. Patil, Jyoti Waykule, “Driving License Test Automation Using VB”, International Journal of Engineering and Applied Sciences (IJEAS) ISSN:2394-3661, Volume-2, Issue-4, April 2015.
  5. Mohit John and Arun Joseph, “Zigbee Based Wireless Data Acquisition Using LabView For Implementing Smart Driving Skill Evaluation System”, International Journal of Instrumentation and Control Systems (IJICS) Vol.3, No.3, July 2013
  6. Prahith N, Pubali Dey, Koushik Shridhar, Aishwarya S V, Shridhar C S, “ IoT based Automatic Driving License Test”, International Journal of Engineering Research and Technology(IJRET), ISSN:2278-0181, Volume 09, Issue 04, April 2020.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Gopinath A R, Aishwarya S S, Lakshmi K R, Lakshmi Devi M S, Divya Bharathi H Y "Automated Driving License Evaluation" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.983-988, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183208