GIS and traffic data used in a traffic hackathon -...
Transcript of GIS and traffic data used in a traffic hackathon -...
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GIS and traffic data used in a traffic hackathon
Edwin Kools
© 2016 TomTom. All rights reserved.
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24 YEARS
300
of software development
devices globally450 MILLION
kilometers driven anually by our users270 BILLION
globally accepted patents
speed measurements collected13.9 TRILLION
127 countries supported by our software
TOMTOM CONNECTED NAVIGATION SYSTEM IN NUMBERS
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TOMTOM CONNECTED NAVIGATION SYSTEM
© 2016 TomTom. All rights reserved.
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Embedded software Companion appsNavigation portal
OnlineRouting
TrafficOnline Search
Speed CamerasReal-time
MapUpdates
Weather
Parking
Fuel
EV POIs
NavCloud
CONNECTED SERVICES POWER THE SEAMLESS EXPERIENCE
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TomTom Traffic – innovation in traffic information
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ABOUT THE HACKATHON
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150 PARTICIPANTS - 48 HOURS
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• Encourage innovation, use of new technologies and data• More insight in the transportation system• Link with tech and data communities• Toronto to become leader in big transportation data
initiatives• Make Toronto a better place
City of Toronto goals
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• Which links (intersections) are the most congested?• Which links (intersections) are the most unreliable?• Which ones are getting worse fastest?• What was the impact to other corridors with the Gardiner
closure?• Do lane closures increase the chance of collisions?• When and where does the most impacting non-recurring
congestion occur?
City of Toronto challenges
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City of Toronto goals
• Better understand transportation in Toronto• Make better use of data• Use available and unknown data sources• Turn this data into information
• Models• GIS
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TomTom goals
• Raise general awareness of richness and availability of traffic data
• Showcase TomTom traffic content and expertise• Showcase quality and usability of TomTom APIs and GIS
data• Collaborate with City of Toronto
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TOMTOM DATA
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TomTom dynamic routing
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Real-time TomTom Traffic
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TomTom map tiles
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TomTom hotspots
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TomTom historical travel times
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HACKATHON SOLUTIONS
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Hackathon solutions
• Correlation found between parking violations and historical bottleneck data
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Hackathon solutions
• Traffic signal optimisation
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Hackathon solutions
• Traffic signal optimisation
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Hackathon solutions
• Feasibility of rerouting buses during peak hours
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Hackathon solutions
• Event management: Travel times during PanAm Games
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Hackathon solutions
• Mapping incidents
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Hackathon solutions
• Travel time analysis
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Hackathon solutions
• App: earn rewards for avoiding peaks
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Hackathon solutions
• Bottleneck analysis
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Hackathon solutions
• 3rd place: analysis of the walkability of streets
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Hackathon solutions
• 2nd place: Traffic/commute forecast (based on historical traffic counts, time of day, day of week and weather)
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Hackathon solutions
• Winners: analysis of the reliability of Toronto’s commutes
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CONCLUSIONS
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Conclusions• Combining and merging data is valuable• Innovation and creative solutions• Focus on spatial data (traffic is spatial)• A good weekend for all
– Participants– City of Toronto– TomTom
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SEE YOU AT THE NEXT TRAFFIC HACKATHON!
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THANK YOUQUESTIONS?
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A HISTORY OF INNOVATION
Launch of the Bandit Action Cam
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OUR BUSINESS TODAY
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TomTom Traffic – portfolio
TRAFFIC STATS
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Times
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