Difference between revisions of "SMT483G4: WheelGo Documentation"
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In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes: | In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes: | ||
<br/> | <br/> | ||
| − | *Travel Distance | + | *Travel Distance per second |
*24Hr Timing | *24Hr Timing | ||
*Travel Date | *Travel Date | ||
*GPS Data | *GPS Data | ||
| + | <br/> | ||
| + | In order to get more meaningful outputs, we have used the available information to generate the following four variables: | ||
| + | <br/> | ||
| + | *Travel Speed | ||
| + | *Travel Duration | ||
| + | *Weekday | ||
| + | *Number of Travel Days | ||
[[File:Weekday.png|left|500px]] | [[File:Weekday.png|left|500px]] | ||
[[File:AvgTimeDistance day.png|500px|thumb|left]] | [[File:AvgTimeDistance day.png|500px|thumb|left]] | ||
Revision as of 16:54, 26 February 2020
User Profile Analysis
In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes:
- Travel Distance per second
- 24Hr Timing
- Travel Date
- GPS Data
In order to get more meaningful outputs, we have used the available information to generate the following four variables:
- Travel Speed
- Travel Duration
- Weekday
- Number of Travel Days
