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Traffic Injury Prevention Volume 21, 2020 - Issue 6
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Articles

Forecasting deaths of road traffic injuries in China using an artificial neural network

Yining QianInjury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; View further author information
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Xujun ZhangInjury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; ;Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; Correspondence[email protected]
View further author information
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Gaoqiang FeiInjury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; View further author information
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Qiannan SunInjury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; View further author information
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Xinyu LiInjury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China; View further author information
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Lorann StallonesDepartment of Psychology, Colorado School of Public Health, Colorado State University, Fort Collins, Colorado; View further author information
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Henry XiangCenter for Injury Research and Policy and Center for Pediatric Trauma Research, The Research Institute at Nationwide Children’s Hospital, The Ohio State University College of Medicine, Columbus, OhioView further author information
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Pages 407-412 | Received 29 Jan 2020, Accepted 13 May 2020, Published online: 05 Jun 2020

References

  • Bureau of Traffic Management of the Ministry of Public Security of People’s Republic of China. 2018. China: road traffic accidents statistics. Beijing (China): Bureau of Traffic Management of the Ministry of Public Security of People’s Republic of China.
  • Dogan E, Akgungor AP. 2011. Forecasting highway casualties under the effect of railway development policy in Turkey using artificial neural networks. Neural Comput Appl. 22(5):869–877. doi:10.1007/s00521-011-0778-0
  • Fattah J, Ezzine L, Aman Z, Moussami H, Lachhab A. 2018. Forecasting of demand using ARIMA model. Int J Eng Bus Manage. 10:1–9. doi:10.1177/1847979018808673
  • García B, Bumbacher A, Deublein M, Adey BT. 2018. Predicting road traffic accidents using artificial neural network models. Infrastruct Asset Manage. 5(4):132–144. doi:10.1680/jinam.17.00028
  • Jomnonkwao S, Uttra S, Ratanavaraha V. 2020. Forecasting road traffic deaths in Thailand: applications of time-series, curve estimation, multiple linear regression, and path analysis models. Sustain Basel. 12(1):395. doi:10.3390/su12010395
  • Sameen M, Pradhan B. 2017. Severity prediction of traffic accidents with recurrent neural networks. Appl Sci (Basel). 7(6):476. doi:10.3390/app7060476
  • Shin H. 2019. Time series forecasting on car accidents in Korea using auto-regressive integrated moving average model. J Converg Inf Technol. 9(12):54–61. doi:10.22156/CS4SMB.2019.9.12.054
  • Sivak M. 2009. During which month is it riskiest to drive in the United States? Traffic Inj Prev. 10(4):348–349. doi:10.1080/15389580902975820
  • Umar IK, Gokcekus H. 2019. Modeling severity of road traffic accident in Nigeria using artificial neural network. J Kejuruteraan. 31(2):221–227. doi:10.17576/jkukm-2019-31(2)-06
  • Wang J, Wang J, Fang W, Niu HL. 2016. Financial time series prediction using Elman recurrent random neural networks. Comput Intell Neurosc. 2016:1–14. doi:10.1155/2016/4742515
  • Wang L, Yu CH, Zhang YQ, Luo LS, Zhang GS. 2018. An analysis of the characteristics of road traffic injuries and a prediction of fatalities in China from 1996 to 2015. Traffic Inj Prev. 19(7):749–754. doi:10.1080/15389588.2018.1487061
  • Wu W, An SY, Guan P, Huang DS, Zhou BS. 2019. Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks. BMC Infect Dis. 19(1):414. doi:10.1186/s12879-019-4028-x
  • Zhang XJ, Yao HY, Hu GQ, Cui MJ, Gu Y, Xiang HY. 2013. Basic characteristics of road traffic deaths in China. Iran J Publ Health. 42(1):7–15.
  • Zhang XJ, Pang YY, Cui MJ, Stallones L, Xiang HY. 2015. Forecasting mortality of road traffic injuries in China using seasonal autoregressive integrated moving average model. Ann Epidemiol. 25(2):101–106. doi:10.1016/j.annepidem.2014.10.015
  • Zhang XY, Liu YY, Yang M, Zhang T, Young AA, Li XS. 2013. Comparative study of four time series methods in forecasting typhoid fever incidence in China. PLoS One. 8(5):e63116. doi:10.1371/journal.pone.0063116
  • Zhang Y, Wang XP, Tang HM. 2019. An improved Elman neural network with piecewise weighted gradient for time series prediction. Neurocomputing. 359(2019):199–208. doi:10.1016/j.neucom.2019.06.001
  • Zheng ZJ, Lu P, Pan DG. 2019. Predicting highway-rail grade crossing collision risk by neural network systems. J Transp Eng a-Syst. 145(8). doi:10.1061/JTEPBS.0000257

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