计算机应用 ›› 2012, Vol. 32 ›› Issue (02): 578-580.DOI: 10.3724/SP.J.1087.2012.00578

• 典型应用 • 上一篇    下一篇

自由流状态汽车驾驶倾向性辨识模型验证方法

张元元,王晓原,张敬磊   

  1. 山东理工大学 交通与车辆工程学院,山东 淄博 255091
  • 收稿日期:2011-06-24 修回日期:2011-08-30 发布日期:2012-02-23 出版日期:2012-02-01
  • 通讯作者: 王晓原
  • 作者简介:张元元(1985-),女,山东菏泽人,硕士研究生,主要研究方向:驾驶倾向性辨识方法;
    王晓原(1970-),男,山东莱州人,教授,博士,主要研究方向:交通流理论、交通行为分析及安全、智能运输系统;
    张敬磊(1979-),男,山东高密人,讲师,硕士,主要研究方向:智能运输系统。
  • 基金资助:
    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

Verification method of vehicle driving tendency recognition model under free flow

ZHANG Yuan-yuan,WANG Xiao-yuan,ZHANG Jing-lei   

  1. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo Shandong 255091, China
  • Received:2011-06-24 Revised:2011-08-30 Online:2012-02-23 Published:2012-02-01
  • Contact: WANG Xiao-yuan

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。

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

Abstract: The lane change decision-making model was established based on the fuzzy multi-objective theory. The 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.

Key words: traffic safety, vehicle driving-assistance, free flow, driving tendency recognition, simulated experiment verification

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