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Professional Experience KS1611
Enabling Intelligent Traffic with Visualisation Kieren Graham – Fidel Torres Fundora – Chris Vellio
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Introduction – Group and Supervisor
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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
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Project Scope Google Maps Directions API Google Maps JavaScript API
Data Driven Documents (D3)
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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
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Prototype and Final designs
Interface Design Prototype and Final designs
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Display Traffic
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Heatmap
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Voronoi
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Graph
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Overall System Architecture
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Technology Considerations
Languages Used: CSS3 ASP.NET MVC 5 SCSS Github Fully Responsive Google Maps API D3 JavaScript HTML5
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Demonstration of Application
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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.
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Questions?
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