自由流状态汽车驾驶倾向性辨识模型验证方法  

Verification method of vehicle driving tendency recognition model under free flow

作　　者：张元元[1] 王晓原[1] 张敬磊[1] 

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255091

出　　处：《计算机应用》2012年第2期578-580,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61074140);山东省自然科学基金资助项目(ZR2010FM007;ZR2011EEM034);山东理工大学青年教师发展支持计划项目

摘　　要：应用模糊多目标理论建立驾驶员换道决策模型,根据实际道路实验所得数据,计算出不考虑和考虑驾驶倾向差异的换道模型预测结果,将模拟出的交通流宏观参数(换道率)与道路实验情况相对比,进行驾驶倾向性推理效果的验证。实验结果表明,所提方法可以明显改善汽车驾驶倾向性辨识模型的准确率。The lane change decision-making model was established based on the luzzy multi-obJective theory, l ne predicted results of lane change models which considered and did not consider driving tendency difference were calculated according to the experiment data of road. The predicted traffic flow macroscopic parameter （ lane change rate） was compared with the result of road experiment to verify the inferential results. The experimental results show that accuracy of the method used for identifying vehicle driving tendency can be improved significantly.

关 键 词：交通安全 汽车辅助驾驶 自由流 驾驶倾向性辨识 仿真实验验证 

分 类 号：U491[交通运输工程—交通运输规划与管理] TP18[交通运输工程—道路与铁道工程]