Abstract

 

As fatalities, injuries, and economic losses from road accidents are a major concern for governments and their citizens, Australia, like other countries, has designed and implemented a wide range of strategies to reduce the rate of road accidents. 

As part of the strategy design process, data on crash deaths were collected and then analyzed to develop more effective strategies. The data of crash deaths in Australia during the years 1965 to 2018 were analyzed based on gender, causes of crash deaths, and type of road users, and then the results were compared with global averages, then a prediction model was developed to forecast the future annual crash fatalities.

The results indicate that, based on gender, the rate of male road fatalities in Australia was significantly higher than that of female road fatalities.. Whereas based on cause of death, the first cause of deaths was speeding. Based on type of road users, the drivers and passengers of 4-wheel vehicles had the highest rate of fatalities.

The prediction model was developed based on Autoregressive Integrated Moving Average (ARIMA) methodology, and annual road fatalities in Australia for the next five years 2019-2022 have been forecast using this model.

Keywords: Road fatalities, fatalities prediction, ARIMA model, Prediction model, crashes in Australia, road accidents.

 

Title

Open Transportation Journal

Publisher

Bentham science

Publisher Country

Netherlands

Indexing

Scopus

Impact Factor

None

Publication Type

Both (Printed and Online)

Volume

13

Year

2019

Pages

134-140