Malaysian road fatalities prediction for year 2020

Fatality reduction is crucial in road safety management. This paper illustrates fatality models developed in Malaysia in predicting the number of fatalities since the early 1990's to the current figures. All models were based on statistical models, utilising linear models, log linear and time series. The objective of this paper is to highlight the recent road fatalities model, using ARIMA models that have been developed and used by government agencies in planning for road fatality reduction.

• Record URL:
  http://acrs.org.au/publications/journals/current-and-back-issues/
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18329497
• Authors:
  • Sarani, R
  • Allyana, S
  • Voon, W S
• Publication Date: 2016

Language

• English

Media Info

• Pagination: 18-22
• Serial:
  • Journal of the Australasian College of Road Safety
  • Volume: 27
  • Issue Number: 2
  • Publisher: Australasian College of Road Safety
  • ISSN: 1832-9497

Subject/Index Terms

• TRT Terms: Fatalities; Forecasting; Highway safety; Highways; Mathematical models; Policy; Safety; Time series
• Uncontrolled Terms: Safe systems (road users); Safe systems (roads)
• Geographic Terms: Malaysia
• ATRI Terms: Fatality rate; Forecast; Modelling; Road safety; Time series
• ITRD Terms: 1661: Accident prevention; 1602: Fatality
• Subject Areas: Highways; Policy; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01602473
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: Jun 21 2016 10:19AM