Modelling Traffic-Based Driving Simulator Using Artificial Intelligence and Virtual Reality Techniques

Citation

Cheng, Yun Quan and Mansor, Sarina and Chin, Ji Jian and Abdul Karim, Hezerul and Ban, Kar Weng (2022) Modelling Traffic-Based Driving Simulator Using Artificial Intelligence and Virtual Reality Techniques. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

With more cars on the roads of Malaysia and the gaining popularity of simulators used in training for various skills. It is only logical to fill in the gap where no case studies were done using simulators curated for Malaysians with Malaysian specific traffic conditions and curriculum to increase learning effectiveness for driving education. With a pilot study done, we seek to further investigate by using different technologies in order to enhance learning effectiveness.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Simulators, Artificial intelligence
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 28 Dec 2022 01:58
Last Modified: 28 Dec 2022 01:58
URII: http://shdl.mmu.edu.my/id/eprint/11023

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