Analyses on relevance of traffic accident classification and time based on rough set

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (11): 215-216.

• 工程与应用 • Previous Articles Next Articles

Analyses on relevance of traffic accident classification and time based on rough set

HAO Nai-lan¹,WANG Shuang-wei²,CHEN Qiang³

1.Changchun Medical Higher Training School，Changchun 130031，China
2.Faculty of Physics，Northeast Normal University，Changchun 130024，China
3.Military Traffic Institute，Tianjin 300161，China

Received:2007-11-15 Revised:2008-02-18 Online:2008-04-11 Published:2008-04-11
Contact: HAO Nai-lan

交通事故等级与事故时间关联性的粗集分析

郝乃澜¹,王双维²,陈强³

1.长春市医学高等专科学校，长春 130031
2.东北师范大学物理学院，长春 130024
3.军事交通学院，天津 300161

通讯作者: 郝乃澜

Abstract

Abstract: This paper taking the traffic accidents which happened in expressways of Jilin province from 1999 to 2004 for example，using traffic accident classification as index，and using month，week，day and hour as time granularity，studied the datum deeply and reached the affect rule of time distribution of traffic accident classification by rough set.The results indicate that there is consanguineous connection between the traffic accidents classification and time，and there is remarkably difference between the important degrees of influencing on traffic accident classification by different time granularity.

Key words: traffic accident classification, rough set, time granularity

摘要： 利用粗集理论，以事故等级为指标，分别以月、周、日和小时为时间粒度，以吉林省某高速公路1999 年～2004年发生的交通事故统计数据为例，对道路交通事故等级的时间分布规律进行分析。结果表明，道路交通事故等级与时间有密切的关系，并且不同时间粒度对交通事故等级影响的重要程度又存在显著差别。

关键词: 交通事故等级, 粗集理论, 时间粒度

HAO Nai-lan¹,WANG Shuang-wei²,CHEN Qiang³. Analyses on relevance of traffic accident classification and time based on rough set[J]. Computer Engineering and Applications, 2008, 44(11): 215-216.

郝乃澜¹,王双维²,陈强³. 交通事故等级与事故时间关联性的粗集分析[J]. 计算机工程与应用, 2008, 44(11): 215-216.

[1]	GAO Tianyu, WANG Qingrong, YANG Lei. Data Mining Model Based on Attribute Dependability Enhancement of Rough Set [J]. Computer Engineering and Applications, 2021, 57(3): 87-93.
[2]	WANG Qingrong, MA Chenkun. Forecast of Emergency Supplies for Case Consumption Reasoning [J]. Computer Engineering and Applications, 2021, 57(22): 281-287.
[3]	LIU Yufeng, SUN Wenxin. Generalized Multi-granulation Quantization Soft Rough Set Model [J]. Computer Engineering and Applications, 2021, 57(12): 137-143.
[4]	LIU Guizhi. Incremental Attribute Reduction of Incomplete Hybrid Data Based on Dimension Change [J]. Computer Engineering and Applications, 2021, 57(12): 161-169.
[5]	ZHANG Bo, JIA Huayu, MA Jun. Estimation of Air Condition for Unmanned Aerial Vehicle Based on RS-GA Neural Network [J]. Computer Engineering and Applications, 2020, 56(4): 209-213.
[6]	MOU En, ZHANG Xianyong, YAO Yuesong, DENG Qie. Class-Specific Attribute Reduct and Its Heuristic Algorithm of Neighborhood Approximation Condition-Entropy [J]. Computer Engineering and Applications, 2020, 56(24): 175-180.
[7]	ZHANG Jianhua, LI Fangfang, YANG Lan. Research on Matching Supply and Demand of Case Knowledge Based on PFS and RS [J]. Computer Engineering and Applications, 2020, 56(23): 139-145.
[8]	LUO Gongzhi, MEI Tao. Multi-granulation Decision-Theoretic Rough Set Method Based on Supervisory Mechanism and Its Application [J]. Computer Engineering and Applications, 2020, 56(18): 214-220.
[9]	XIE Xuming, DUAN Longzhen, QIU Taorong, YANG Youfeng. Improved Quantum Search Algorithm and Its Application on Computation of Core [J]. Computer Engineering and Applications, 2020, 56(14): 57-61.
[10]	LI Xu, RONG Zijing, REN Yan. Attribute Reduction on Weighted Decision Table [J]. Computer Engineering and Applications, 2020, 56(12): 54-59.
[11]	CHEN Panpan, LIN Menglei. Attributes Reduction of Single Valued Neutrosophic Decision Information System Based on Inclusion Degree [J]. Computer Engineering and Applications, 2020, 56(12): 175-181.
[12]	REN Jun1, TANG Qiwen1, XU Yi2, HU Shanzhong2. Research on Multi Granularity Rough Set for University Students’ Poverty Support Evaluation [J]. Computer Engineering and Applications, 2019, 55(7): 82-86.
[13]	WU Yangyang, TANG Jianguo. Research Progress of Attribute Reduction Based on Rough Set in Context of Big Data [J]. Computer Engineering and Applications, 2019, 55(6): 31-38.
[14]	QI Meilan, LI Xiaonan. Matroidal Structure Based on Set-Valued Mapping and Its Relationship with Covering Rough Sets [J]. Computer Engineering and Applications, 2019, 55(6): 50-56.
[15]	YANG Zhen, GENG Xiuli. Research on Mining Association Rules Based on Multi-Granularity Attribute Reduction [J]. Computer Engineering and Applications, 2019, 55(6): 133-139.

Analyses on relevance of traffic accident classification and time based on rough set

交通事故等级与事故时间关联性的粗集分析

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics