SUMMER RESEARCH PROJECT

UTORONTO MSRG GROUPDANIEL YUE

Smartphone client application for ONE-ITS

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)

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

Architecture

User

Static data set

ONE-ITS Traffic DataBases

Synchronize and data update

Client

Java Servlet

Real time stream

• GPS Positions• Current Speed• Road Condition

Http Post

• Incidents • Weekly traffic report• High way

traffic condition

Http Response

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 speedlane occupancy and sensor id)

• Some observation while obtaining these data

• Inconsistencies in One-ITS data •

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 starting point and destination.

• Total duration = total distance / average speed

Historical Weekly Report

DVP Highway Average Speed Highway 401 Average Speed

May 1st – May 7th

0 6 12 18 24

100

120

0 6 12 18 24

80

60

40

20

0

Location Awareness• Keep track of user’s movement when app

Trace function is turned on

• Auto detect user’s moving status. Driving, cycling or walking (Google play Location service )

• Draw color coded polylines on map based on user moving path. (Blue: > 80 km/h, Yellow: 40 – 80 km/h , Red: < 40 km/h, driving condition)

• Use personal paths to improve traffic prediction. (valuable traffic )

Daily deals from Groupon

• Integrate with Google map and android app

• Suggest Deals based on user current location

• Most up to date deals from Groupon website

• Using Groupon API to retrieve data

Thank you