基于模糊聚类的驾驶决策判别

doi:10.13229/j.cnki.jdxbgxb201505006

吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1414-1419.doi: 10.13229/j.cnki.jdxbgxb201505006

基于模糊聚类的驾驶决策判别

王喆¹, 杨柏婷², 刘昕¹, 刘群¹, 宋现敏³

1.吉林大学网络中心,长春130022;
2.长春职业技术学院信息分院,长春 130031;
3.吉林大学交通学院长春130022

收稿日期:2014-05-21 出版日期:2015-09-01 发布日期:2015-09-01
通讯作者: 刘昕(1976-),女,高级工程师.研究方向:智能交通与网络计算.E-mail:lx@jlu.edu.cn
作者简介:王喆(1979-）,男,工程师.研究方向:网络计算,数据处理技术.E-mail:wangzhe@jlu.edu.cn
基金资助:
国家自然科学基金项目(51278520,51278220); 吉林省科技发展计划项目(20130206093SF)

Discriminant analysis of driving decisions based on fuzzy clustering

WANG Zhe¹, YANG Bai-ting², LIU Xin¹, LIU Qun¹, SONG Xian-min³

1.Network Center, Jilin University, Changchun 130022,China;
2.Institute of Information, Changchun Vocational Institute of Technology, Changchun 130031,China;
3.College of Transportation, Jilin University, Changchun 130022,China

Received:2014-05-21 Online:2015-09-01 Published:2015-09-01

摘要/Abstract

摘要： 分析了在驾驶决策过程中的生理和心理活动,确定了影响驾驶决策的主要因素,例如感知范围、驾驶经验等。在此基础上,考虑驾驶心理,计算了驾驶员感知临界值和紧急响应临界值,并且利用模糊聚类方法对信息样本分类,得到信息样本在不同驾驶决策上的隶属程度,从而判别驾驶员采取加速、减速、匀速自由驾驶或紧急制动。最后,分析了不同道路等级条件下驾驶员心理感知响应的临界值变化。结果表明:驾驶员心理感知范围并不只是驾驶员视觉上对距离的感应,在不同速度条件下驾驶员心理也会发生很大变化。本文方法直观、简单,可为交通仿真和交通安全提供理论依据。

关键词: 交通运输安全工程, 驾驶员行为, 模糊聚类, 决策机制

Abstract: According to the traffic characteristics, the psychological and physiological activities of the driver in decision making process are analyzed. The main factors affecting driving decisions, such as the driver's range of perception and experience etc, were identified. Then, the psychological activities of the driver were considered and the driver perception threshold and emergency response threshold were determined. The method of fuzzy clustering analysis was used to classify a sample and the degree of membership of the sample in different driving decision-making was gotten. It was judged that the driver should accelerate, decelerate, uniformly drive or emergency brake. Finally, the driver perception threshold and emergency response threshold were analyzed on different grade roads. The results show that the driver's range of perception was not just the visual distance, and the driver's psychology would change a lot under different driving speeds. The proposed method is easy and simple to use. It can provide a theoretical basis for traffic simulation and traffic safety.

Key words: engineering of communications and transportation safety, driving behavior, fuzzy cluster analysis, decision strategy

中图分类号:

U491.54

王喆, 杨柏婷, 刘昕, 刘群, 宋现敏. 基于模糊聚类的驾驶决策判别[J]. 吉林大学学报(工学版), 2015, 45(5): 1414-1419.

WANG Zhe, YANG Bai-ting, LIU Xin, LIU Qun, SONG Xian-min. Discriminant analysis of driving decisions based on fuzzy clustering[J]. 吉林大学学报(工学版), 2015, 45(5): 1414-1419.

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基于模糊聚类的驾驶决策判别

Discriminant analysis of driving decisions based on fuzzy clustering

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