GIS and traffic data used in a traffic hackathon Edwin Kools

GIS and traffic data used in a traffic hackathon Edwin Kools

TOMTOM CONNECTED NAVIGATION SYSTEM IN NUMBERS 24 YEARS 127 300 450 MILLION 270 BILLION 13.9 TRILLION of software development countries supported by our software globally accepted patents devices globally kilometers driven anually by our users speed measurements collected

TOMTOM CONNECTED NAVIGATION SYSTEM

CONNECTED SERVICES POWER THE SEAMLESS EXPERIENCE Online Search NavCloud Online Routing Real-time Map Updates Traffic Speed Cameras Weather EV POIs Parking Fuel Navigation portal Embedded software Companion apps

TomTom Traffic innovation in traffic information

ABOUT THE HACKATHON

150 PARTICIPANTS - 48 HOURS

City of Toronto goals 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 challenges 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 goals Better understand transportation in Toronto Make better use of data Use available and unknown data sources Turn this data into information Models GIS

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

TOMTOM DATA

TomTom dynamic routing

Real-time TomTom Traffic

TomTom map tiles

TomTom hotspots

TomTom historical travel times

HACKATHON SOLUTIONS

Hackathon solutions Correlation found between parking violations and historical bottleneck data

Hackathon solutions Traffic signal optimisation

Hackathon solutions Traffic signal optimisation

Hackathon solutions Feasibility of rerouting buses during peak hours

Hackathon solutions Event management: Travel times during PanAm Games

Mapping incidents Hackathon solutions

Travel time analysis Hackathon solutions

Hackathon solutions App: earn rewards for avoiding peaks

Bottleneck analysis Hackathon solutions

Hackathon solutions 3 rd place: analysis of the walkability of streets

Hackathon solutions 2 nd place: Traffic/commute forecast (based on historical traffic counts, time of day, day of week and weather)

Hackathon solutions Winners: analysis of the reliability of Toronto s commutes

CONCLUSIONS

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

SEE YOU AT THE NEXT TRAFFIC HACKATHON!

THANK YOU QUESTIONS?

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