Open Access
MATEC Web Conf.
Volume 103, 2017
International Symposium on Civil and Environmental Engineering 2016 (ISCEE 2016)
Article Number 08012
Number of page(s) 8
Section Traffic Behaviour and Road Safety Engineering
Published online 05 April 2017
  1. OECD/ITF, Road Safety Annual Report 2015, OECD Publishing, Paris, (2015) [Google Scholar]
  2. RMP, Statistical Report on Road Accidents in Malaysia, (2014) [Google Scholar]
  3. G. Nor, M. Fauzi, Value of life of Malaysian motorists : Estimates from a nationwide survey, Journal of the Eastern Asia Society For Transportation Studies, 5, (2003) [Google Scholar]
  4. M. Yusoff, Malaysian value of fatal and non-fatal injury due to road accident : The willingness to pay using conjoint analysis study, Proceedings of the Eastern Asia Society for Transportation Studies, 8, (2011) [Google Scholar]
  5. C. Pudprommarat, M. Khamkong, P. Bookkamana, Zero-inflated poisson regression in road accidents on major road in the North of Thailand, IRCNSA Proceedings, 323–330 (2005) [Google Scholar]
  6. A.H. Lee, M.R. Stevenson, K. Wang, K.W. Yau, Modeling young driver motor vehicles crashes: Data with extra zeros, Accident Analysis and Prevention, 34, 515–521 (2002) [CrossRef] [Google Scholar]
  7. S.P. Miaou, The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions, Accident Analysis and Prevention 26, 471–482 (1994) [CrossRef] [Google Scholar]
  8. E. Ayati, E. Abbasi, Modelling accidents on mashad urban highways, Open Journal of Safety Science and Technology, 4, 22–35 (2014) [CrossRef] [Google Scholar]
  9. M. Asrul, N.N. Naing, Mortality in hospitalized human immunodefiency virus (HIV) and tuberculosis (TB) infection patients: Zero-inflated negative binomial death rate (ZINBDR) models, Applied Mathematical Sciences, 7, 37–47 (2013) [CrossRef] [Google Scholar]
  10. A.K. Sharma, V.S. Landge, Zero inflated negative binomial for modelling heavy vehicle crash rate on Indian rural highway, International Journal of Advance in Engineering & Technology, 5(2), 292–301 (2013) [Google Scholar]
  11. N.J. Garber, L. Wu, Stochastic Models Relating Crash Probabilities with Geometric and Corresponding Traffic Characteristics Data, Research Report No. UVACTS-5-15- 74, (2001) [Google Scholar]
  12. M.H. Pour, J. Prasetijo, A.S. Yahaya, S.M.R. Ghadiri, Modeling vehicle-pedetrian crashes with excess zero along Malaysia Federal Roads, Procedia-Social and Behavioral Sciences 53, 1218–1227 (2012) [Google Scholar]
  13. D. Lord, S.P. Washington, J.N. Ivan, Further notes on the application of zero-inflated models in highway safety, Accident Analysis and Prevention 39, 53–57 (2007) [Google Scholar]
  14. J. Prasetijo, W.Z. Musa, Modeling zero-inflated regression of road accidents at Johor Federal Road F001, MATEC Web of Conferences, 47, 03001, (2016) [CrossRef] [EDP Sciences] [Google Scholar]
  15. J. Prasetijo, W.Z. Musa, Z.F. Zainal, Identification of hazardous road sections using over dispersion-excess zero data of vehicle accident at Johor Federal Roads, Proceedings International Conference on Engineering of Traumagara, 1(1), (2015) [Google Scholar]
  16. J.M. Hilbe, Negative Binomial Regresion, 2nd ed., California Institute of Technology and Arizona State University, (2011) [CrossRef] [Google Scholar]

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