Control algorithms developed for autonomous and electric vehicles undergo limited trials because of the high cost of using actual vehicles. This study constructs a low-cost virtual environment for developing such control algorithms using open data and a game engine. Specifically, a large-scale three-dimensional urban road model with elevation differences is generated. This model is connected with hardware-in-the-loop simulations (HILS) as a vehicle running model to realize a practical system. This study reveals the need to automate the model development process in light of its high cost.
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