continuous data collection for smarter cities...continuous data collection for smarter cities ....
TRANSCRIPT
Continuous Data Collection forSmarter Cities
Florent PeyreCo-Founder & [email protected]
Technical Summit on Smart Cityand Transportation
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1950 1953 1956 1959 1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 2013 2016 2019 2022 2025 2028 2031 2034 2037 2040 2043 2046 2049
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
