A large-scale dataset boosts the performance of deep learning models. However, in-vehicle camera image datasets contain many daytime and few nighttime scenes. Therefore, this study proposes an image-to-image translation model to convert daytime road scenes to nighttime road scenes by preserving visual appearance and contents to increase nighttime dataset.