Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 10
Page No. 3463 - 3471

Prediction of Actual Fatality in Big Cities of West Java Province based on ANN3-1HL Model Developed from the Multivariable ANN Model for Fatality Prediction in Indonesia

Authors : SupratmanAgus

References

Agus, S., 2012. [Comparison of andreassen model and artificial neural network model for prediction of fatalities of traffic accidents victims (In Indonesia)]. J. Transp., 12: 73-82.

Agus, S., 2016. A review of the 1985 andreassen model to predict the fatality rate of traffic accident victims in Indonesia. Intl. J. Control Theory Appl., 9: 77-92.
Direct Link  |  

Agus, S., 2016. An analysis of variables to predict traffic fatalities based on the of road transport infrastructure in Indonesia. Intl. J. Appl. Eng. Res., 11: 8271-8280.
Direct Link  |  

Andreassen, D.C., 1985. Linking deaths with vehicles and population. Traffic Eng. Control, 26: 547-549.
Direct Link  |  

BFS., 1998. Definitions and data availabbility. Bundesanstalt für Strabenwesen, Bergisch Gladbach, Germany.

BFS., 2004. Achieving ambitious road safety targets. Bundesanstalt fur Strabenwesen, Bergisch Gladbach, Germany.

Broughton, J., 1988. Predictive models of road accident fatalities. Traffic Eng. Control, 29: 296-300.
Direct Link  |  

CBS., 2014. Land transportation statistics. Central Bureau of Statistics, Givat Shaul, Israel.

CBS., 2015. Statistical yearbook of Indonesia. Central Bureau of Statistics, Givat Shaul, Israel.

Hung, N.Q., M.S. Babel, S. Weesakul and N.K. Tripathi, 2009. An artificial neural network model for rainfall forecasting in Bangkok. Thai. Hydrol. Earth Syst. Sci., 13: 1413-1425.
Direct Link  |  

INP., 2011. [Polantas in figures 2010]. Indonesian National Police, South Jakarta, Indonesia. (In Indonesian)

INP., 2013. Launching integrated road safety management system (IRSMS). Indonesian National Police, South Jakarta, Indonesia.

MTI., 2007. The 3 steps: Brief reference for the advocacy of transportation development process. Masyarakat Transportasi Indonesia, Jakarta, Indonesia.

Moshou, D., A. Chedad, V.A. Hirtum, D.J. Baerdemaeker and D. Berckmans et al., 2001. Neural recognition system for swine cough. Math. Comput. Simul., 56: 475-487.
Direct Link  |  

Oppe, S., 1991. The development of traffic and traffic safety in six developed countries. Accid. Anal. Prev., 23: 401-412.
Direct Link  |  

Santoso, B., 2007. Data Mining Terapan Dengan MATLAB. Graha Ilmu, Yogyakarta, Indonesia,.

Smeed, R.J., 1949. Some statistical aspects of road safety research. J. Royal Stat. Soc. Ser. A. Gen., 112: 1-34.
CrossRef  |  Direct Link  |  

Trippi, R. and E. Turban, 1996. Neural Networks in Finance and Investing. McGraw Hills, New York, USA, ISBN:9781557389190, Pages: 821.

WHO., 2013. Global status report on road safety, time for action. World Health Organization, Geneva, Switzerland.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved