Prediction of Road Traffic Accidents Using a Combined Model Based on IOWGA Operator
Traffic accident prediction plays a important role in reducing the likelihood of traffic accidents and improving the management levels of traffic safety. A new combined prediction model based on the induced ordered weighted geometric average (IOWGA) operator was proposed. This new model combines the GM(1,1) model and the Verhulst model with changeable weight coefficients of each single model. A combined model based on the optimal weighted (OW) method is also presented for comparison. An example is given with the number of deaths by road traffic accidents in China from 2003 to 2008. The results indicate that the proposed combined model is better than the other three models.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15873811
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Supplemental Notes:
- © 2015 Jianhu Zheng and Xiongbin Wu.
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Authors:
- Zheng, Jianhu
- Wu, Xiongbin
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 146-153
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Serial:
- Periodica Polytechnica Transportation Engineering
- Volume: 43
- Issue Number: 3
- Publisher: Budapest University of Technology and Economics
- ISSN: 1587-3811
- Serial URL: http://www.pp.bme.hu/tr/index
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Fatalities; Mathematical prediction; Traffic crashes; Traffic safety
- Geographic Terms: China
- Subject Areas: Highways; Safety and Human Factors; I81: Accident Statistics;
Filing Info
- Accession Number: 01568202
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 26 2015 5:12PM