With the widespread adoption of e-bikes, mixing with cars is becoming increasingly common, which raises concerns about traffic safety and efficiency. In this paper, we improve the social force model based on the artificial potential energy field and construct a microscopic simulation platform with the machine-non-mixed road section as the research object. Using high-precision trajectory data, we analyse the characteristics of machine-non-mixed flow, propose a shield-shaped perception domain to adapt to the actual driving perception, and construct boundary force and lane force to compensate for the deficiencies of traditional models. After completing the calibration of the model parameters, a micro-simulation platform compatible with various functions is constructed to verify the validity of the model and analyse the capacity and overtaking situation under different lane widths and vehicle ratios, thus providing a theoretical basis for the design of road segregation facilities and traffic management.
Yang et al. (Mon,) studied this question.