This paper addresses the challenge of ensuring realistic traffic conditions by proposing a methodology that systematically identifies traffic simulation requirements. Using a structured approach based on sub-goals in each study phase, specific technical needs are derived for microscopic levels, agent models, and visual representation. The methodology aims to maintain a high degree of fidelity, enhancing both the validity of experimental outcomes and participant engagement. By providing a clear link between study objectives and traffic simulation design, this approach supports robust automotive development and testing.

翻译：本文针对确保交通条件真实性的挑战，提出了一种系统识别交通仿真需求的方法论。通过采用基于各研究阶段子目标的结构化方法，本文从微观层面、智能体模型和视觉表现三个维度推导出具体的技术需求。该方法旨在保持高度仿真保真度，从而提升实验结果的效度与参与者的沉浸感。通过建立研究目标与交通仿真设计之间的清晰关联，本方法为稳健的汽车开发与测试提供了支持。