Difference between revisions of "Air Traffic Visualisers"
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| − | ==Project Introduction | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Introduction</font></div> |
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The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States. | The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States. | ||
In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened. | In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened. | ||
| − | ==Project Motivation | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Motivation</font></div> |
It is difficult to predict the effect of ‘black swan’ events and how they would affect the airline industry. In the airline industry, crashes are becoming less frequent due to increase in airline safety standards and improving technology. As such, airline crashes tend to be black swan events that are almost unpredictable. | It is difficult to predict the effect of ‘black swan’ events and how they would affect the airline industry. In the airline industry, crashes are becoming less frequent due to increase in airline safety standards and improving technology. As such, airline crashes tend to be black swan events that are almost unpredictable. | ||
Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen. | Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen. | ||
| − | ==Objectives | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Objectives</font></div> |
In this project, we will be focusing on the following: | In this project, we will be focusing on the following: | ||
*Identify the trend between plane crashes and the number of passengers travelling within the US over the past 15 years | *Identify the trend between plane crashes and the number of passengers travelling within the US over the past 15 years | ||
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*Other unlikely relationships between airplane crashes and domestic flights taken in US | *Other unlikely relationships between airplane crashes and domestic flights taken in US | ||
| − | ==Dataset | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Dataset</font></div> |
| − | ==Exploration of Visualisation Methods | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Exploration of Visualisation Methods</font></div> |
| − | ==Proposal of StoryBoard | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Proposal of StoryBoard</font></div> |
| − | ==Technical Challenges | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Technical Challenges</font></div> |
| − | ==Project Timeline | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Project Timeline</font></div> |
| − | ==Technologies and Tools | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>Technologies and Tools</font></div> |
| − | ==References | + | <div style="background: #346ec4; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px; font-size: 20px;margin-top:25px"><font color=#FFFFFF>References</font></div> |
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Revision as of 15:48, 8 October 2016
Project Introduction
The airplane industry is a very volatile industry. Various events can occur that would lead to the whole airline industry to go into a downward spiral. Clear examples of this events are the September 11 Terrorist Attacks and the 2009 Financial Crisis. However, how much of airline industry is affected due to commercial airplane crashes, and how badly does it affect the number of passengers travelling within the United States.
In this project, our team intend to make use of data visualisation techniques to help correlate between airplane crashes and the fall in number of passengers travelling within the United States. We intend to answer various questions such as, the impact of an airplane crash that occurred in US compared to an airplane crash that occurred outside of the US and other questions such as what should companies do when such an incident happened.
Project Motivation
It is difficult to predict the effect of ‘black swan’ events and how they would affect the airline industry. In the airline industry, crashes are becoming less frequent due to increase in airline safety standards and improving technology. As such, airline crashes tend to be black swan events that are almost unpredictable.
Consequently, we’d like to find out when such event happens, how much do they affect the airline industry, if at all? This would be helpful for airlines to make better decisions in terms of resource allocations when such events happen.
Objectives
In this project, we will be focusing on the following:
- Identify the trend between plane crashes and the number of passengers travelling within the US over the past 15 years
- Find out if international flights or domestic flight crashes has a greater effect on the confidence of flights
- Other unlikely relationships between airplane crashes and domestic flights taken in US
Dataset
Exploration of Visualisation Methods
Proposal of StoryBoard
Technical Challenges
Project Timeline
Technologies and Tools
References
