Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Development of a Reproduction Method of a Stream of People for Intuitively Recognize a State of Congestion
1. World Data Viz Challenge 2018
Development of a Reproduction Method
of a Stream of People
for Intuitively Recognize a State of Congestion
混雑状況を直感的に把握可能にするための
人流センシング再現手法の開発
Sayoko Shimoyama, Hiroki Uematsu
Info Lounge Co., Ltd.
6. 2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU 6
寿司詰め
Sushi-Zume
(n) jam-packed; packed in like sushi (like sardines)
7. How to resolve congestion?
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU
7
congestion
Decentralize a stream
of people
Increase a capacity
in a place
Eliminating causes of
congestion
8. How to resolve congestion?
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU
8
congestion
Decentralize a stream
of people
Increase a capacity
in a place
Eliminating causes of
congestion
Understanding of
the current
situation
9. We propose a solution for
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU
9
congestion
Decentralize a stream
of people
Increase a capacity
in a place
Eliminating causes of
congestion
Understanding of
the current
situation
10. Demonstration Project in the Underground
Passage in Sapporo City
passage length: 520m
The most longest under ground
passege in japan
Put sensors that were developed
by Infolounge Co., Ltd at 5 point to
measure the stream of people.
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU 10
By 663highland, CC BY 2.5
Sapporo,
Hokkaido,
Japan
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Total Count
1
1Detect the moving direction by
the time difference of the change
of the ultrasonic distance
20. PROBLEM:It’s difficult to recognize the
state of congestion intuitively
Visualizing numerical value as a chart helps us understand the situation
But it’s difficult to know how much congestion degree is there
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU 20
?
Sushi-Zume Not Sushi-Zume
21. SOLUTION:Reproduce the stream of
people using 3D model
Reproduce the stream of
people from the numeric value
measured by sensors using 3D
model
It enables intuitively recognize
a state of congestion
2018/11/14 SAYOKO SHIMOYAMA, HIROKI UEMATSU 21