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SAIL 2015
1 Week, >1.5M Visitors, 300K/Day
Largest public sailing event in the World
Mix of Commuters /
Tourists / Visitor...
SAIL Crowd 

Monitoring Dashboard
Cameras count
pedestrians (2 ways)
Wifi sensors follow
Smartphones from
sensor to sensor...
SAIL 2015
8 Cameras
Count heads@Location
High Precision,
No Semantics
Low Density
0
2000
4000
6000
8000
10000
12000
6 11 1...
SAIL 2015
20 WiFI
Fixed Position
No Semantics
Low Density
Count Devices@Location
SAIL 2015
100 GPS
Random
Distribution,
Precise Semantics
(Demographic,
Usage Role)
Low Density
Track Route
Social Glass
Real-time Analytics
Crowd Dashboard
Flow and route choice
Densities (#/m2)
Speeds and durations
Geo-location ...
SAIL 2015
Research Goal:
Analysis and validation of mobility patterns as observed from social data
Social Media
Count User...
SocialMedia Vs. WiFi Vs. CameraSocial Media
Camera
WiFi
SocialMedia Vs. GPS
Research Goal:
Analysis and validation of mobility patterns as observed from
social data
Residents Foreign Tourists Dutch TouristsInstagram. Geo-located posts related to SAIL 2015
Social Media Activities
Druk
Vol
Gedrang
Bomvol
Boordevol
Afgeladen
Volgepakt
Crowded
Busy
Jam
Jam-packed
ForeignTouristsResidents
Instagram. Geo-...
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SAIL 2015 Crowdmanagement Experiment. Pitch slides

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The research team from TU Delft and DAT.Mobility worked on intelligently fusing data about pedestrian flows from different types of sensors (wifi, gps, counting cameras) to estimate crowd densities, travel speeds and flows at different routes of SAIL. Besides that, open social media platforms were crawled and analysed to get insight in demographics of the crowd and crowd sentiments at different hotspots of SAIL during the event. The collected data and state estimates can be used for more advanced and efficient crowd management support in the future. At SAIL 2015 we really focused on testing new sensor technologies, crowd data algorithms and analytics and assess whether they can be made useful and are reliable. This should give us insight in how we can improve crowd management of large events in cities in the future and provide visitors and citizens a more pleasurable experience.

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SAIL 2015 Crowdmanagement Experiment. Pitch slides

  1. 1. SAIL 2015 1 Week, >1.5M Visitors, 300K/Day Largest public sailing event in the World Mix of Commuters / Tourists / Visitors Main Route: ~ 6Km ORGANIZERS’ GOAL: Real-time crowd monitoring How many people are in my area? What kind of people are these? Where do they come from? Which routes do they use? How long do they stay in my area and for what purpose? What are travel times on these routes? What measures can I apply to manage the crowd? What is the effect of such measures?
  2. 2. SAIL Crowd Monitoring Dashboard Cameras count pedestrians (2 ways) Wifi sensors follow Smartphones from sensor to sensor Some visitors are equipped with GPS trackers Social Media data (social-media activity by area, properties of visitors) Moreover… - Camera verification in location with high expected crowd - Aerial pictures Mark Hünneman, Serge Hoogendoorn, Winnie Daamen Dorine Duives, Yufei Yuan, Stefano Bocconi, Christiaan Titos Bolivar
  3. 3. SAIL 2015 8 Cameras Count heads@Location High Precision, No Semantics Low Density 0 2000 4000 6000 8000 10000 12000 6 11 16 In Out Total
  4. 4. SAIL 2015 20 WiFI Fixed Position No Semantics Low Density Count Devices@Location
  5. 5. SAIL 2015 100 GPS Random Distribution, Precise Semantics (Demographic, Usage Role) Low Density Track Route
  6. 6. Social Glass Real-time Analytics Crowd Dashboard Flow and route choice Densities (#/m2) Speeds and durations Geo-location mapping Visitors demographics City role
  7. 7. SAIL 2015 Research Goal: Analysis and validation of mobility patterns as observed from social data Social Media Count Users, Track Routes Biased Distribution Inferred Semantics (Demographic, Usage Role, Topic, Sentiment) Higher Density
  8. 8. SocialMedia Vs. WiFi Vs. CameraSocial Media Camera WiFi
  9. 9. SocialMedia Vs. GPS
  10. 10. Research Goal: Analysis and validation of mobility patterns as observed from social data
  11. 11. Residents Foreign Tourists Dutch TouristsInstagram. Geo-located posts related to SAIL 2015 Social Media Activities
  12. 12. Druk Vol Gedrang Bomvol Boordevol Afgeladen Volgepakt Crowded Busy Jam Jam-packed ForeignTouristsResidents Instagram. Geo-located posts related to SAIL 2015 “Crowdedness"

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