This dataset simulates realistic ride hailing demand patterns in a university campus environment by transforming real-world bike sharing trip data into ride hailing scenarios. The synthetic generation preserves temporal demand patterns and spatial distributions while adapting the characteristics for ride hailing services. This makes it valuable for transportation research, demand forecasting, and mobility optimization algorithms without privacy… See the full description on the dataset page:
https://huggingface.co/datasets/oemer450/campus-ride-hailing.
