| 基于驾驶员类型分析的智能车辆交叉口行为决策 |
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| 引用本文： | 宋威龙,熊光明,王诗源,陈慧岩.基于驾驶员类型分析的智能车辆交叉口行为决策[J].北京理工大学学报,2016,36(9):917-922. |
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| 作者姓名： | 宋威龙 熊光明 王诗源 陈慧岩 |
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| 作者单位： | 北京理工大学机械与车辆学院,北京,100081;北京理工大学机械与车辆学院,北京,100081;北京理工大学机械与车辆学院,北京,100081;北京理工大学机械与车辆学院,北京,100081 |
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| 基金项目： | 国家自然科学基金资助项目（91420203） |
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| 摘 要： | 提出一种基于车辆行为交互的两阶段智能车辆交叉口行为决策方法.第一阶段通过基于模糊逻辑的驾驶员激进程度判别模型，判断交叉口其他车辆的驾驶员类型；第二阶段通过驾驶员激进程度与碰撞到达时间（TTC）进行行为决策.使用Prescan和Matlab/Simulink进行交叉口联合仿真.结果表明，该方法可以使智能车辆安全有效通过有其他车辆通行的交叉路口.
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| 关 键 词： | 智能车辆 驾驶员类型 行为决策 交叉口 |
| 收稿时间： | 2015/4/22 0:00:00 |
Decision Making for Intelligent Vehicles Based on Driver Type Analyzing in an Intersection |
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| SONG Wei-long,XIONG Guang-ming,WANG Shi-yuan and CHEN Hui-yan.Decision Making for Intelligent Vehicles Based on Driver Type Analyzing in an Intersection[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(9):917-922. |
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| Authors: | SONG Wei-long XIONG Guang-ming WANG Shi-yuan and CHEN Hui-yan |
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| Institution: | School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A two-stage method of intelligent vehicle(IV) decision making for traffic interaction in an intersection was proposed in this paper. In the first stage, a driver type recognition model was presented based on fuzzy logic to get the aggressive rate of social vehicles. In the second stage, a rule-based decision-making algorithm was used to generate the best behavior for IV based on vehicle''s aggressive ratio and time to collision(TTC). Finally, a Co-simulation with Prescan and Matlab/Simulink was performed to verify the algorithm. The results show that the method could lead IV get through intersection safely and efficiently. |
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| Keywords: | intelligent vehicle driver type decision making intersection |
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