Driver prediction model for autonomous vehicle within a virtual testing platform tailored to Malaysia driving scenarios

Driver prediction model for autonomous vehicle within a virtual testing platform tailored to Malaysia driving scenarios

Virtual simulation is a vital tool for testing autonomous vehicle (AV) systems in hazardous scenarios due to its cost-effectiveness, reproducibility, and safety. The reliability of such simulations depends on the accuracy of vehicle dynamics, environmental models, and, critically, driver models, whi...

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Bibliographic Details
Main Author: Cheok, Jun Hong
Format: Thesis (University of Nottingham only)
Language:English
Published: 2025
Subjects:
AI‑based driver model; Malaysian driving environment; CNN‑LSTM with attention; mixed‑reality driving simulator; autonomous vehicle testing
Online Access:https://eprints.nottingham.ac.uk/81189/

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