Signal Proposal

TEAM

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER

PROBLEM & MOTIVATION

Efforts by the Singapore Traffic Police in educating the public on road safety over the years have decreased the number of Fatal Accidents in Singapore by 15.7% in 2017 as compared to 2016 (Chua, 2018). Despite the improvement, Singapore's road fatalities per 100,000 motor vehicles of 20.2 in 2015 is still relatively high as compared to countries, such as Japan, which has achieved a low 6.5 (World Health Organisation, 2015). Accidents involving motorcyclists and elderly jaywalkers were highlighted as key concerns by the Singapore Traffic Police as motorcycle accidents accounts for more than half of the traffic accidents in 2017 and the number of elderly jaywalkers road fatalities are on the rise.

Therefore, our project aims to uncover various factors that correlates with road accidents and how preventive measures could be put into place by the respective authorities apart from educating the public on road safety.

OBJECTIVES

In our project, we would be creating a geovisualisation that is able to achieve the following objectives:

• Gain an overview of traffic accident hotspots
• Explore possible correlations with traffic accidents
• Identify zones which are more prone to accidents
• Recommend additional datasets that should be collected

SELECTED DATASETS

The following datasets will be used for analysis, as elaborated below:

Dataset	Format	Source
Local Authority Districts (Leeds)	SHP	UK Consumer Data Research Centre (CDRC)
Leeds Road Network	SHP	UK Consumer Data Research Centre (CDRC)
Unfamiliarity with Leeds geographical area	Independent learning via online resources Ask teammates for help	hey

BACKGROUND SURVEY OF RELATED WORKS

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TOOLS & TECHNOLOGIES

Tools and technologies
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Data Architecture
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KEY CHALLENGES

The following are some of the key technical challenges that we may face throughout the course of the project:

Key Challenges	Mitigation Plan
Unfamiliarity with spatial analysis methods	Independent learning via online resources such as Datacamp Find and read the relevant research papers Ask teammates for help
Unfamiliarity with R and Rshiny Libraries	Attend R Shiny Workshop Independent learning via online resources such as Datacamp Ask teammates for help
Unfamiliarity with Leeds geographical area	Independent learning via online resources Ask teammates for help

TIMELINE

TO BE FILLED!

REFERENCES

• https://census.ukdataservice.ac.uk/use-data/guides/boundary-data

COMMENTS

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