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ITS中基于模糊积分信息融合理论的仿真算法研究 被引量:1

Study on Simulation Algorithm Based on the Fuzzy Integral and Information Fusion Therory in ITS
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摘要 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。 The traffic simulation traffic enviroment are not considered is the important research means of ITS. The multi-information integration of synthetically in the traditional microscopic traffic simulation model, especially for the car-following model which is used to reflect the traffic decision behavior. 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 muhi-information integration before the carfollowing model is implemented.
作者 王雷
出处 《科学技术与工程》 北大核心 2012年第33期8951-8955,共5页 Science Technology and Engineering
基金 广州市哲学社会科学"十一五"规划课题(10B72)资助
关键词 模糊积分 多源信息融合 交通仿真 模型验证 fuzzy integral multi-information fusion traffic simulation model verification
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参考文献17

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