Year: 2024
Type: conference-paper
Abstract: A hybrid society is expected to emerge in the near future, with different mobilities interacting together, including cars, micro-mobilities, pedestrians, and robots. People may utilize multiple types of mobilities in their daily lives. As vehicle automation advances, driver modeling flourishes to provide personalized intelligent services. Thus, modeling drivers across mobilities would pave the road for future society mobility-as-a-service, and it is particularly interesting to predict driver behaviors in newer mobilities with traditional mobility data. In this work, we present takeover prediction on a micro-mobility, with car simulation data. The promising model performance demonstrates the feasibility of driver modeling across mobilities, as the first in the field.
Authors: Zhaobo Zheng, Kumar Akash, Teruhisa Misu
Institution: Honda Research Institute, USA
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4391047427