continuous data collection for smarter cities...continuous data collection for smarter cities ....

Continuous Data Collection forSmarter Cities

Florent PeyreCo-Founder & COOflorent@placemeter.com

Technical Summit on Smart Cityand Transportation

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P P

2016

Cities are growing.

Percentage of Rural Population

Percentage of Urban Population

2036

75%

Infrastructure is not keeping up with demand

Transportation planners and other stakeholders need accurate, complete, continuous data to design spaces for such a rapidly increasing population.

Others needdata, too.

Citizens

Policy Data

So where is transportation data collection right now?

Traditional data collection methods are expensive and inaccurate.

We need continuous data to create smart cities.

• Avoids short-term, anecdotal evidence

• Cost-effective

• Vast amount of quality data

• Ability to discern patterns

• Ability to establish Baseline conditions

• Supplemental data sources

• Transparency of Information

• Provides public, decision-makers with

Big Picture view

• Diminishes NIMBY-ism

NYCDOT uses EZ Pass readers to monitor and reduce congestion in Midtown Manhattan.

Brazil’s Centro de Operações Preifetura do Rio de Janeiro monitors the municipality’s 30 departments and private suppliers in a single monitoring room

The best solutions are scalable, adaptable.

Computer vision is a scalable system for continuous traffic data.

Computer vision provides the dynamic traffic data needed for multi-modal development

a. One camera can measure all movements in an intersection

b. Requires no hardware, no additional training for users

c. Software is updated in the cloud

Computer Vision has Smart City applications in Transportation…

Discover overcrowded and under-used areas

Understand the impact of road closures, planned & unplanned events

Quantify the use of design features like bike racks and benches

Analyze bikes, vehicles, and pedestrian activity for bike lane development

Identify sharp turns and unsafe intersections for traffic safety and plaza projects

Visualize demand across your network

And beyond…

Urban designers can design user-centric cities

BIDs can encourage membership by proving ROI Civic activists can engage their communities

The NYC DOT measured pedestrian activity in a plaza to:

• Design nearby sidewalks for varying levels of usage and crowdedness throughout the day

• Identify how peak traffic flows impacted pedestrian spillover from pathways into intersections

• Plan for events leading to increased foot traffic

• Improve event and emergency management

Cisco Paris is measuring the use of the Place de la Nation before its renovation in 2017.

• Collecting continuous data from 19 cameras

• Combining it with network infrastructure information

• Getting a quantifiable understanding of how pedestrians, bicycles and vehicles use infrastructure and design features throughout the year

• Creating a more user-centric design

The City of Boston is measuring foot traffic in and around Boston City Hall

• Tracking trends over time to reveal most used paths and features inside City Hall and activate underutilized areas

• Measuring intersections around city hall to understand bike demand

• Dynamically allocating resources

The adoption of continuous data collection is essential to smart city development.a. Scalable Data: can be used across

different regions throughout the year

b. Cost-Efficient Methods: data can be collected in bulk rather than piecemeal

c. Data Dissemination Framework:allows industry professionals to interact with the public and decision makers

Thank YouFlorent PeyreCo-Founder & COOflorent@placemeter.com