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Boot the Open Smart City

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Page 1: Boot the Open Smart City
Page 2: Boot the Open Smart City

Takuro YonezawaKeio University, Japan

Boot the Open Smart City

Page 3: Boot the Open Smart City

EU-Japan Collaborative Smart City Project

(2013-2015)

(2016-2018)

Funded by FP7/NICT

Funded by Horizon2020/NICT

ClouT Project

BigClouT Project

Page 4: Boot the Open Smart City

Video

Page 5: Boot the Open Smart City

Real World Cyber World

Tv =now - dTr= now

DataSensing

Current

Volume&Speed UP

Tv ≈ nowTr = now

Big DataSensing

Seamless collection of various sensor data(IoT, People, Web)

Knowledge acquisition &Sharing

Tr= now’ Tv =now + DChooseFuture

Prediction (ML, analysis)

Page 6: Boot the Open Smart City

What is ‘Smart’ City

• City which has A&R: Awareness and Responsiveness

– Awareness: Understand/Predict City in Real-Time

– Responsiveness: Change city’s functions/behaviors according to it’s

situation

LIFE ENVIRONMENT ECONOMY etc..

Page 7: Boot the Open Smart City

From Legacy City Elements to Smart Community, City

Self-A&RSurrounding-A&R

Application

Automated Driving

Smart Navigation etc.

Community-A&R

Legacy

City ElementSmart

City Element

Smart

Organization,

Community..

IoT

EmpowermentData

Sharing

Application

Smart Delivery

Scheduling

etc.

100Hz Data

1Hz Data

* 100 cars

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Available on http://www.sfcity.jp

SFCity: Open Smart City Platform

Coping with various physical/virtual sensors

Providing unified APIs for various languages

Flexible Data Sharing

Make ready

as smart city elements

Share tons of data

for smart city users

Page 10: Boot the Open Smart City

Example of city data volume and diversity

Page 11: Boot the Open Smart City

Example of city data volume and diversity

⦁Environment Type

Temperature・Humidity

Weather・UV

Pollen・PM2.5/NOX/NO2..

Rain・River Level・Sea Level

Earthquake

⦁Industry Type

Stock price

Gas price

Catch of Fish

Public transportation info.

Blood donation

Advertisement num.

Job offer

Housing price

⦁Human flow

Parking lot info.

Traffic congestion

Number of tweets

Safety info.

Num. of people in Beach

Police information

Construction info.

Energy Power Consumption

Amount of garbage

Congestion of buses

Hotel availability

Number of Crime

Participatory Sensing

….

All data can be

accessed as

sensor data stream

Using

Sensor-over-XMPP

technology

Page 12: Boot the Open Smart City

Human flow + parking lot(with Tokyo Univ.)

Various data (with ClouT)

Environmental data

Parking lot

Video

Page 13: Boot the Open Smart City

Boot the Smart Cityby maximize utilization of existing city assets

• Public Cars as Sensors

• WEB as Sensors

• Crowd as Sensors

How can we collect/share massive city data

in a sustainable way ?

Not only for rich cities - for Any Cities

Example:

Fujisawa City, Japan

Page 14: Boot the Open Smart City

1. Public cars as Sensors Garbage trucks go around entire city everyday

Spatially full-covered environmental sensing

Page 15: Boot the Open Smart City

1. Public cars as Sensors

Leveraging daily-use public cars for city sensingWith NTT R&D

Video

Page 16: Boot the Open Smart City

2. WEB as Sensors

Transform WEB(without APIs) to

IoT Data Stream instantly

• Websites about city already exist a lot

• Some of them are periodically updated

• Act alike sensors

Change such websites to real IoT data stream

One billion websites

Page 17: Boot the Open Smart City

WEB Sensorizer

(Google Chrome Plugin)

Auto finding&sensorize

Manual sensorize

X

2 ways of sensorize

Page 18: Boot the Open Smart City

Data Finder Data Warrior

Finding and

activating good

sensors !

Creating new

services with the

sensors!

… Smart

city

apps.

Sensorizer Leveraging

City data excavation

hackathon

City application

hackathon

Internet

Data

digging

Smart City API-Ready Sensors

Data Excavation Hackathon

not only use already-opened data, but also find&sensorize data

Page 19: Boot the Open Smart City
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3. Crowd as Sensors

Virtual Sensor Nodes

StreetLight

DeadAnimal

DisasterReport

Graffiti IllegalGarbage RoadDamageCitizen / City Staffs

as data publisher

City

Apps.

Photo,

GPS,

Comment..

PublishData Stream

Page 21: Boot the Open Smart City

~100 reports per day

from city staffs

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Multi-sensors integrated Applications

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Virtual IoT Sensors

Virtual WEB Sensors

Virtual Crowd Sensors

Unifie

d A

PIs

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City Sensors

Video

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Lesson Learnt

• Only big companies / cities can lead smart city ?

– should be NOT !

• Possibility to

– leverage daily city service as sensing tasks

• “sharksucker” sensing with public cars

• City staffs acting as sensor

– generate massive IoT data stream without new IoT deployment

• Possibility to leverage any city information to enhance any existing services

– Open the data, then open community can leverage the data

– Open Smart City Ecosystem

Page 26: Boot the Open Smart City

SFCity Platform: Boot the Open Smart City

• For any cities without high cost

• Maximize utilization of existing city assets

• SFCity: open smart city platform

– Enables to change WEB to data stream

– Providing unified access to various data stream

– Available online: http://www.sfcity.jp

• Real deployment to Fujisawa city, Japan

– 100 garbage trucks has been sensorized

– 3,500 city staffs can act as sensors

– 10,000 Various WEBs has been sensorized

– Use for city management, reducing garbage, disaster management.

Page 27: Boot the Open Smart City

Thank you very much !

Contact: [email protected]

... And more

Our Team