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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/24455

Title: Injury severity models for motor vehicle accidents: a review
Authors: Mujalli, Randa Oqab
de Oña, Juan
Issue Date: 2013
Abstract: Modelling of traffic accidents injury severity is a complex task. In the last few years the number and variety of studies that analyse injury severity of traffic accidents have increased considerably. In this paper 19 modelling techniques used to model injury severity of traffic accidents where at least a 4-wheeled vehicle is involved have been analysed. The analysis and the comparison between models was performed based on seven criteria (modelling technique, number of records, number of variables, area type, features, injury level and model fit). In general, it is not possible to recommend a method that could be identified as the best one. Each modelling technique has its own limitations and characteristics, awareness of which will help analysts to decide the best method to be used in each particular modelling problem. However, some general conclusions can be established: in most cases the results of models’ fits are found to be satisfactory, though not excellent; in the case of data mining models, accuracy improves with balanced datasets; and no correlation was found to exist between the number of accident records and the number of analysed variables.
Sponsorship: TRYSE Research Group, Department of Civil Engineering, University of Granada, Spain
Publisher: Thomas Telford
Description: “Permission is granted by ICE Publishing to print one copy for personal use. Any other use of these PDF files is subject to reprint fees" (www.transport-ice.com). http://dx.doi.org/10.1680/tran.11.00026
Keywords: Traffic accident
Models
Review
Severity
URI: http://hdl.handle.net/10481/24455
ISSN: 0965-092X
1751-7710
Citation: Mujalli, R.O.; de Oña, J. Injury severity models for motor vehicle accidents: a review. Proceedings of the Institution of Civil Engineers- Transport, (2013). [http://hdl.handle.net/10481/24455]
Appears in Collections:TEP246 - Artículos

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