Spatial Data Analysis of Vehicle Accidents in Victoria Australia from 2006 to 2016 using ANOVA and T- Statistics
Loading...
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
UMT, Lahore
Abstract
Accidents and the analysis of accidents has always been an area of
interest in the present age and is of prime interest to not only passengers
but also the manufacturers of those vehicles and the government. The
analysis of accidents helps expose the relationship between different
types of attributes that are involved in causing the accidents. Accidents
can be of airplanes, ships, road accidents etc but for our thesis we will be
considering road accidents for different vehicles and focusing on cars. The
analysis of various types of accidents using the given dataset we can
gather information and contribute to finding the attributes which can
cause accidents and how are can use these attributes to decrease the
number of accidents. In our study we will be using statistical data analysis
on spatial data on the State of Victoria in the Australia region. There have
been laws made to reduce the speed limit of the vehicles over the past
decades and our focus of this research would be to find out what vehicles
are most prone to accidents and the driving rules and policies made by
the government to control them. Accident are something which everyone
tries to avoid and incase of the mishap what policies and safety measures
can be taken to prevent them. Our research is an extension of work of
data exploration [4] and finding the vehicles most prone to accidents and
then finding out the government policies [3] that were applied to those
vehicles and if there was any decrease in the accidents as a result of those
policies.