A Hybrid Algorithm of Traffic Accident Data Mining on Cause Analysis
Joint Authors
Xi, Jian-feng
Gao, Zhenhai
Niu, Shifeng
Ding, Tong-qiang
Ning, Guobao
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Road traffic accident databases provide the basis for road traffic accident analysis, the data inside which usually has a radial, multidimensional, and multilayered structure.
Traditional data mining algorithms such as association rules, when applied alone, often yield uncertain and unreliable results.
An improved association rule algorithm based on Particle Swarm Optimization (PSO) put forward by this paper can be used to analyze the correlation between accident attributes and causes.
The new algorithm focuses on characteristics of the hyperstereo structure of road traffic accident data, and the association rules of accident causes can be calculated more accurately and in higher rates.
A new concept of Association Entropy is also defined to help compare the importance between different accident attributes.
T-test model and Delphi method were deployed to test and verify the accuracy of the improved algorithm, the result of which was a ten times faster speed for random traffic accident data sampling analyses on average.
In the paper, the algorithms were tested on a sample database of more than twenty thousand items, each with 56 accident attributes.
And the final result proves that the improved algorithm was accurate and stable.
American Psychological Association (APA)
Xi, Jian-feng& Gao, Zhenhai& Niu, Shifeng& Ding, Tong-qiang& Ning, Guobao. 2013. A Hybrid Algorithm of Traffic Accident Data Mining on Cause Analysis. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031789
Modern Language Association (MLA)
Xi, Jian-feng…[et al.]. A Hybrid Algorithm of Traffic Accident Data Mining on Cause Analysis. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031789
American Medical Association (AMA)
Xi, Jian-feng& Gao, Zhenhai& Niu, Shifeng& Ding, Tong-qiang& Ning, Guobao. A Hybrid Algorithm of Traffic Accident Data Mining on Cause Analysis. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031789
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031789