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基于认知活动链的驾驶行为协调仿真模型
引用本文:王晓原,王雷. 基于认知活动链的驾驶行为协调仿真模型[J]. 西南交通大学学报, 2007, 42(2): 238-242
作者姓名:王晓原  王雷
作者单位:山东理工大学交通与车辆工程学院,山东,淄博,255049
基金项目:国家自然科学基金项目(50378042);山东省社会科学规划研究项目(04CMZ08);山东理工大学科研基金重点资助项目(2004KJZ02)
摘    要:为向车辆控制系统和智能车辆的发展提供理论参考,用主成分分析法确定多源信息对驾驶员行为决策的影响系数,用模糊积分融合算法获得驾驶员任务集聚后车辆的运行模式,并按照认知活动链将该模糊积分融合算法与跟驰模型相结合,构建了基于认知活动链的驾驶员行为协调仿真模型.此外,采用五轮仪实验系统对淄博市张周路某路段的交通流数据进行了采集,用实测数据验证了模型的有效性.

关 键 词:驾驶员行为 多源信息融合 车辆跟驰模型 任务集聚
文章编号:0258-2724(2007)02-0238-05
修稿时间:2005-11-04

Cooperative Simulation Model for Driving Behavior Based on Cognition Activity Chain
WANG Xiaoyuan,WANG Lei. Cooperative Simulation Model for Driving Behavior Based on Cognition Activity Chain[J]. Journal of Southwest Jiaotong University, 2007, 42(2): 238-242
Authors:WANG Xiaoyuan  WANG Lei
Abstract:To provide a theoretical reference for the development of advanced vehicle control systems and intelligent vehicles, the principal component analysis was used to determine the influence coefficient of muhi-information on driving behavior decision-making, and the fuzzy integral fusion algorithm was applied to obtain the running pattern of a vehicle after the task concentration of the driver. The fuzzy integral fusion algorithm was combined with the car-following model to construct a cooperative simulation model for the driving behavior based on cognition activity chain. Finally, the validity of the cooperative simulation model was verified by the traffic data collected from Zhangzhou road in Zibo City using the five-wheel system.
Keywords:driving behavior   multi-information fusion   car-following model   task concentration
本文献已被 CNKI 维普 万方数据 等数据库收录!
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