Automated Driver’s Assessment and Driving Simulator System


Rionel Belen Caldo, Joemar Palomaria, Vol. 1, No. 1, pp. 23-31, Mar. 2019
10.22662/IJASC.2019.1.1.023, Full Text:
Keywords: Driving simulator system, TESDA, LTO, Electronic system, decision support system

Abstract

Background/Objectives: The present invention generally relates to a driver’s assessment and training simulator system designed for the improvement of the driver’s screening and qualification procedures of TESDA prior to the license issuance and release in LTO. Methods/Statistical analysis: Driving Assessment and Simulation Hub (HUB) would like to propose a solution to preparing problems by designing, developing and implementing an Automated Driver's Assessment and Driving Simulator System. Findings: The present invention discloses an electronic system comprising three (3) main software components specifically, an electronic driving knowledge examination system with biometrics registration validation feature and touchscreen terminals, a driving simulation testing system with automatic scoring and up to thirty (30) heads per hour testing capacity, and a decision support system for the evaluation of the two exam results. Improvements/Applications: Driving Assessment and Simulation Hub (DASH) project team is making the Philippines a happy and safe place to drive in.


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Cite this article
[APA Style]
Rionel Belen Caldo and Joemar Palomaria (2019). Automated Driver’s Assessment and Driving Simulator System. International Journal of Advanced Science and Convergence, 1(1), 23-31. DOI: 10.22662/IJASC.2019.1.1.023.

[IEEE Style]
R. B. Caldo and J. Palomaria, "Automated Driver’s Assessment and Driving Simulator System," International Journal of Advanced Science and Convergence, vol. 1, no. 1, pp. 23-31, 2019. DOI: 10.22662/IJASC.2019.1.1.023.

[ACM Style]
Rionel Belen Caldo and Joemar Palomaria. 2019. Automated Driver’s Assessment and Driving Simulator System. International Journal of Advanced Science and Convergence, 1, 1, (2019), 23-31. DOI: 10.22662/IJASC.2019.1.1.023.