ITS中基于模糊积分信息融合理论的仿真算法研究

交通仿真是ITS的重要实验研究手段。传统的微观交通仿真模型,特别是反映交通决策行为的车辆跟驰模型,未能综合考虑交通环境中多源信息的有效融合。利用模糊积分理论确定驾驶员信息融合后对车辆应采取的反应行为。通过模型验证表明:在车辆跟驰模型实施之前,利用模糊积分算法模型化驾驶员在多源信息融合条件下的反应过程是行之有效的。

Study on simulation algorithm based on the fuzzy integral and information fusion therory in ITS

The traffic simulation is the important research means of ITS. The multi-information integration of traffic enviroment are not considered synthetically in the traditional microscopic traffic simulation model, especially for the car-following model which is used to reflect the traffic decision behavior. In this paper, the fuzzy integral method is used to detemine the reflection behavior of driver after multi-information integration. The model verification shows that the fuzzy integral algorithm is effective to model the reaction process at the multi-information integration before the car-following model is implemented.