The study focuses on predicting driver behaviors across different mobilities, including cars, micro-mobilities, pedestrians, and robots. As vehicle automation advances, there’s a growing interest in personalized intelligent services, making driver modeling an essential aspect. The authors present a takeover prediction model using car simulation data, demonstrating the feasibility of driver modeling across mobilities. This could be pivotal for future mobility-as-a-service, helping in the transition to a more sustainable and convenient future.
Publication date: 19 Jan 2024
Project Page: https://doi.org/10.1145/3610978.3640610
Paper: https://arxiv.org/pdf/2401.10175
