1. Professional Experience KS1611
Enabling Intelligent Traffic with Visualisation
Kieren Graham –
Fidel Torres Fundora –
Chris Vellio

2. Introduction – Group and Supervisor

3. Project Background Project Background
This project’s aims is to study the Traffic Data (with GPS location, time and device) and provide a suitable visualisation of the traffics so that the traffic planner or traveller can make the best possible travel plan upon the current traffic condition

4. Project Scope Google Maps Directions API Google Maps JavaScript API
Data
Driven Documents
(D3)

5. 16.1 Million total database records
Data Design
deviceId~2
latitude
longitude
speed~1
reliability~4
satellite
type~4
lock~4
isoDate~9
51C43906 1
Wed Sep 10 00:00:00 ICT 2014
Process Data
~700 Files
~1GB Data
1 File becomes 1 SQL Query
16.1 Million total database records

6. Prototype and Final designs
Interface Design
Prototype and Final designs

7. Display Traffic

8. Heatmap

9. Voronoi

10. Graph

11. Overall System Architecture

12. Technology Considerations
Languages Used:
CSS3
ASP.NET MVC 5
SCSS
Github
Fully Responsive
Google Maps API D3
JavaScript
HTML5

13. Demonstration of Application

14. Conclusion Future Developments
Create documentation for future developers.
Make the voronoi diagram colour transition more fluidly.
Add database status indication when processing data.
Look into buying a premium Google Maps API subscription.

15. Questions?