Citation

Cheng, Yun Quan and Mansor, Sarina and Chin, Ji Jian and Abdul Karim, Hezerul and Ban, Kar Weng (2023) Enhancement of Prototype Driving Simulator Using Available AI-Based Game Technology. In: International Congress on Information and Communication Technology, 20-23 February 2023, London, United Kingdom.

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Abstract

Simulators—games that simulate the real world in a virtual environment, such as racing simulators, have been widely studied and documented. Their uses could, however, be further expanded into the field of driving education. The motivations behind this study are to dive into the trend of immersive learning and exploit artificial intelligence (AI)-based game technology to benefit driving education. The preliminary work shows that the use of a driving simulator as a teaching tool for driving education has improved the passing rate of driving training. This paper proposes several enhancements to the prototype driving simulator, by utilizing rudimentary AIs to simulate basic traffic for certain scenarios. The driving simulator is developed in Unity and is paired with a driving rig consisting of a steering wheel and pedals. The project currently is a functioning driving simulator that can accept both controller and steering wheel inputs. For prototype enhancement, three scenario-based tracks and a mock-up town with a traffic light system and AI traffic were added. The prototype now includes five circuit tracks and two on-the-road tracks based on the Standard Examination syllabus, three scenario-based tracks, and a mock-up town with AI traffic, together with an automated test mode for the syllabus tracks. The free practice mode will be available for all tracks.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Driving education, Driving simulator, Game AI, Prototype enhancement
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	06 Dec 2023 08:45
Last Modified:	06 Dec 2023 08:45
URII:	http://shdl.mmu.edu.my/id/eprint/11904

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