Towards Sustainable Smart Cities

Urban Metabolism: supporting resource management and urban planningSensed cities, challenges and applications

Carlos Santos Silva (IN+), Nuno Nunes (M-ITI), João Paulo Costeira (ISR)

http://suscity-project.eu/

Cities are complex systems with:- Several dimensions and needs

- Energy- Mobility- Water- Materials- Economic development

- Several stakeholders:- Citizens- Municipality- Governmental agencies- Companies

CONTEXT

CONTEXT

Investment/Policies decisions in different dimensions

What’s the better decision?

How to compare?

Support decision making with scientific

models

Study area

Final deliverable

Step 1:Develop a model

Step 2Assesing future scenarios

Base Energy ModelUMI – Urban Modelling Interface

Retrofit Measure – Scenario 1Change Windows

Retrofit Measure – Scenario 3Add Solar PV

Retrofit Measure – Scenario 2Add Wall/Roof Insulation

Solar potential - 16 June 2016

Net consumption- 16 June 2016

Team

Khadija Benis, Sónia Cunha and many, many others…

Claudia Sousa

Human Dynamics for Urban Systems

community based – open – mobility tracking

detecting events

information visualization

leveraging innovative servicesmobility analysis – tourism, sustainability, urban planninglocation aware storytellingan open framework for community empowerment

location aware storytelling

Bike Monitor www.isr.ist.utl.pt/~manuel/smartbike

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Smartphone App

Bike Monitor

– GPS Coordinates

– Acceleration on 3 axis (Accelerometer)

– Rotation (Gyroscope)

– Image (Camera)

– Date

– Heartbeat

Team

Pedro Vieira Miguel CostaManuel Marques(PI)

Susana Brandão João P. Costeira

Why so few bikes, what to do?

João Paulo Cardoso

Carlos L. Azevedo

Filipe Moura

Risk Assessment

Conflicts • Cyclists vs Cars• Cyclists vs Pedestrians

Risk Assessment

Conflicts • Cyclists vs Cars• Cyclists vs Pedestrians

Surveys • Imprecise• Subjective• People forget• Hard to process

Data ISpatial context from video

• Left/Frontal/Right obstacles

• Vehicles overtaking

• Pedestrians

• Road condition

Data I - Images

Data II - accelerometers

Soon this will be a rare event

Data III- Heart Rate Mesurements

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Heart monitoring chest strap:

HRV

(Heart Rate Variability)

Stress

ECG record

t

Image descriptor

Image descriptor

Image descriptor

Evaluating “Stress”(HRV)

Evaluating “Stress”

Measuring “Stress”

Moments of Stress

A

B

Not that stressfull

Risky business

A

B

Risky business

A

B

Conflicts with whom ?

What’s next ?