The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents
Joint Authors
Shiau, Yau-Ren
Hung, Yung-Hsiang
Tsai, Ching-Hsing
Kuo, Yu-Ting
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs.
The environment, time, and region influence the occurrence of traffic accidents.
The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy.
This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE) of Feature Selection to screen the important factors affecting traffic accidents.
It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA), Backpropagation Neural Network (BPNN), and Logistic Regression (LR).
The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types.
The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89%) and FRPCA-LR (85.14%) combined with FRPCA is higher than that of BPNN (84.37%) and LR (85.06%) by 1.52% and 0.08%, respectively.
Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.
American Psychological Association (APA)
Shiau, Yau-Ren& Tsai, Ching-Hsing& Hung, Yung-Hsiang& Kuo, Yu-Ting. 2015. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
Modern Language Association (MLA)
Shiau, Yau-Ren…[et al.]. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
American Medical Association (AMA)
Shiau, Yau-Ren& Tsai, Ching-Hsing& Hung, Yung-Hsiang& Kuo, Yu-Ting. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073109
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073109