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Smart Cities Experience and Data Exploitation
Paul Putland
BT Research and Technology
©British Telecommunicationsplc
Creating a Smarter World – the need for data
Creating a digital
model of your world
More informed people and
machines make better decisions
Experience from being key technology partner for:
• MK:Smart – one of the largest smart city collaborations in the UK
• Cityverve project in Manchester – leading on Data Hub for Travel and Transport application area
RT Data
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RT Data
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RT Data
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VariousNetworksWi-Fi,Cellular,LPWA,etc.
©BritishTelecommunicationsplc
Example: Smart Parking
Multiple uses of same data:
• Driver information
• Where to park
• Better use of existing spaces
• Warden information
• Who to ticket
• Usage of car parks
• How long people stay
• How much used
• Share data with Transport managers
©BritishTelecommunicationsplc
Example: Traffic Density and air congestion – extension to smart lighting
Original aim was to count traffic for comparison with Air Quality measurements
Now used to control dimming of traffic lights based on real time traffic volumes
©BritishTelecommunicationsplc
Example: Smart Bins
Original aim was to optimise collection. Preventing fly tipping may be bigger savings
©BritishTelecommunicationsplc
Example: Water Usage
• Combine data from soil moisture sensors
with weather forecast to provide an
indication of the need to water the
garden or not
– Garden Monitor application
• Provide water usage on an hour by hour
basis through a smart metering trial to
show users how much water they use
– Water Monitor website
• Test the effectiveness of influencing
customer behaviour
Garden Monitor application Water Monitor website
Can we bring different data sources together to change peoples behaviour?

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Ingenious - Smart cities experience and data exploitation

  • 1. Smart Cities Experience and Data Exploitation Paul Putland BT Research and Technology
  • 2. ©British Telecommunicationsplc Creating a Smarter World – the need for data Creating a digital model of your world More informed people and machines make better decisions Experience from being key technology partner for: • MK:Smart – one of the largest smart city collaborations in the UK • Cityverve project in Manchester – leading on Data Hub for Travel and Transport application area RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed RT Data Feed VariousNetworksWi-Fi,Cellular,LPWA,etc.
  • 3. ©BritishTelecommunicationsplc Example: Smart Parking Multiple uses of same data: • Driver information • Where to park • Better use of existing spaces • Warden information • Who to ticket • Usage of car parks • How long people stay • How much used • Share data with Transport managers
  • 4. ©BritishTelecommunicationsplc Example: Traffic Density and air congestion – extension to smart lighting Original aim was to count traffic for comparison with Air Quality measurements Now used to control dimming of traffic lights based on real time traffic volumes
  • 5. ©BritishTelecommunicationsplc Example: Smart Bins Original aim was to optimise collection. Preventing fly tipping may be bigger savings
  • 6. ©BritishTelecommunicationsplc Example: Water Usage • Combine data from soil moisture sensors with weather forecast to provide an indication of the need to water the garden or not – Garden Monitor application • Provide water usage on an hour by hour basis through a smart metering trial to show users how much water they use – Water Monitor website • Test the effectiveness of influencing customer behaviour Garden Monitor application Water Monitor website Can we bring different data sources together to change peoples behaviour?