Modeling random effect and excess zeros in road traffic accident prediction
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Modeling_Random_effect_and_Excess_Zero_in_Road_Traffic_Accident.pdf. |
Description
Poisson distribution has often been used for count like accident data. Negative Binomial (NB) distribution has been adopted in the count data to take care of the over-dispersion problem. However, Poisson and NB distributions are incapable of taking into account some unobserved heterogeneities due to spatial and temporal effects of accident data. To overcome this problem, Random Effect models have been developed. Again another challenge with existing traffic accident prediction models is the distribution of excess zero accident observations in some accident data. Although Zero-Inflated Poisson (ZIP) model is capable of handling the dual-state system in accident data with excess zero observations, it does not accommodate the within-location correlation and between-location correlation heterogeneities which are the basic motivations for the need of the Random Effect models. This paper proposes an effective way of fitting ZIP model with location specific random effects and for model calibration and assessment the Bayesian analysis is recommended.
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ID Code: | 51216 | ||
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Item Type: | Contribution to conference (Abstract) | ||
Refereed: | No | ||
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Measurements or Duration: | 0 pages | ||
Keywords: | Negative Binomial model, Poisson regression model, Random effect model | ||
Pure ID: | 33842253 | ||
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > CARRS-Q Centre for Future Mobility Current > Research Centres > Smart Transport Research Centre |
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Copyright Owner: | Consult author(s) regarding copyright matters | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 29 Jun 2012 00:38 | ||
Last Modified: | 04 Mar 2024 15:20 |
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