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Summer research Project UToronto MSRG group Daniel Yue

Smartphone client application for ONE-ITS. Summer research Project UToronto MSRG group Daniel Yue. ONE–ITS Network platform . Real time traffic data from Ministry of Transportation Ontario, City of Toronto . High way traffic cameras, loop detectors, traffic incidents systems … etc.

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Summer research Project UToronto MSRG group Daniel Yue

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  1. Smartphone client application for ONE-ITS Summer research ProjectUToronto MSRG groupDaniel Yue

  2. ONE–ITS Network platform Real time traffic data from Ministry of Transportation Ontario, City of Toronto. High way traffic cameras, loop detectors, traffic incidents systems … etc. Solve daily traffic problems, enhance safety, reduce stress, reduce fuel consumption and pollution Collaboration among multiply universities across borders. Part of the CVST project(Connected Vehicles and Smart Transportation)

  3. Smart traffic mobile client • Simple，User-friendly graphical user interface to allow users easily access road conditions, on-road incident information. • Build robust connection with Server, be able to receive data from Java Servlet, and transfer user data to the Server. • Integration of One-ITS and Google Map data, provide future prediction • Display historical traffic data in chart form, and store user preference in SQLite • Reasons to choose work on Android platform • Open source platform, support by Google • Android development experience • Java Simple and easy to code

  4. Architecture Java Servlet Static data set Http Post Client • GPS Positions • Current Speed • Road Condition User Real time stream Http Response Synchronize and data update • Incidents • Weekly • traffic report • High way traffic condition ONE-ITS Traffic DataBases

  5. Workload extracted from One-Its • Data Collect from Gardiner, DVP, Lake shore and Allen Road , Highway 401 • How to obtain the workload • Types of traffic data included (Straight way and Ramps) • Information Contains in each sensor file (Time Stamp, Geopoint , lane speed • lane occupancy and sensor id) • Some observation while obtaining these data • Inconsistencies in One-ITS data

  6. Traffic Prediction • Predict estimated time of arrival between any two points on Highways. (Gardiner, DVP and Highway 401) • Based on historical One-ITS data. (traffic data for different months and seasons) • Calculate road distance from sensor information. • Get average weekly speed and standard deviation on each road interval. • Sum up the total distance between startingpointanddestination. • Totalduration=totaldistance/averagespeed

  7. Historical Weekly Report May 1st – May 7th DVP Highway Average Speed Highway 401 Average Speed 120 100 80 60 40 20 0 0 6 12 18 24 0 6 12 18 24

  8. Location Awareness • Keeptrackofuser’smovementwhenappTracefunctionisturnedon • Auto detect user’s moving status. Driving, • cyclingorwalking(GoogleplayLocation • service) • Drawcolorcodedpolylinesonmapbased • onusermovingpath. (Blue: > 80 km/h, Yellow: 40 – 80 km/h , Red: < 40 km/h, driving condition) • Use personal paths to improve traffic prediction. (valuable traffic )

  9. DailydealsfromGroupon • Integrate with Google map and android app • SuggestDealsbasedonusercurrentlocation • Most up to date deals from Groupon website • Using Groupon API to retrieve data

  10. Thank you

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