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Citizen as a sensor smart city smart_cityexpo

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Smart cities are considered as a promising strategic path towards economic and social sustainability, but... How could we obtain nationwide results without a massive investment?

- Implementation fields would be, initially, telecommunications, energy saving, public/private transport and, at the end, welfare and healthcare.

- Different types of data could be obtained from the volunteer’s smartphones without the need of their assistance, intervention or even their attention.

- Sensors would provide anonymous data on: mobility, availability of city services, radio-electric map, radiation fields, detection of events and possible needs of health assistance.

- The key would be to substitute the use of specialized sensors by using the citizens smartphones. To overcome the missing we incorporate specific algorithms to get new inferred signals.

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Citizen as a sensor smart city smart_cityexpo

  1. 1. The Citizen as a Sensor Smart cities & Smart society Adrián Latorre Di Leo Solution Manager | Altran adrian.latorre@altran.com Keywords: Crowdsourcing, weareables, sensor, Smartphone, citizen November 2014
  2. 2. 2 Smart country Crowd sourcing Citizen as a Sensor How could we obtain nationwide  Implementation fields would be, initially, telecommunications, energy saving, public/private transport and, at the end, welfare and healthcare  Different types of data could be obtained from the volunteer’s smartphones without the need of their assistance, intervention or even their attention  Sensors would provide anonymous data on: mobility, availability of city services, radio-electric map, radiation fields, detection of events and possible needs of health assistance  The key would be to substitute the use of specialized sensors by using the citizens smartphones. To overcome the missing we incorporate specific algorithms to get new inferred signals results without a massive investment? Smart cities are considered as a promising strategic path towards economic and social sustainability, but...
  3. 3. 3 It is an Altran solution to enable advanced sensors, divided in three main components Low Battery usage core App About Altran’s solution Low-Battery-usage App that analyzes the user behavior and its environment, obtaining data from the different sensors available within the Smartphone, in a completely autonomous & unattended way Public and/or private Portal Azure based environment to receive, process & show data coming from the smartphones with two possible interfaces: Public portal: where data is presented with a series of basic & easily understandable filters Private portal: with a larger variety of filters and graphic (Basic) interfaces which allows a detailed data analysis Big Data Azure BigData environment: it disposes of several more environment specific tools for a deeper statistical data analysis, trends search and other related concepts (Advanced - Big Data) Public Portal Private Portal Azure HD Insight Ad Hoc Reports  PowerQuery  PowerPivot  PowerView Corporate Reports  HTML5/ CCS3  Jscript  D3.js &
  4. 4. 4 Smartphone App to obtain opportunistic or systematic geo-located measures from the radius of action of the associated cell Geo-located measures:  Power (RSSI in dBm) of the received signal corresponding to the in-service mobile cell  Type of connection & technology  Speed average from the last measure  User activity and environment (walking, stopped, under cover, etc.)  Environmental noise (acoustic contamination as peak and dosimeter)  Electromagnetic fields (low frequency EMF plus earth field)  Standard Wi-Fi signal levels  Internet connection status and effective transfer speed Wearable Other devices that can be connected to CrowdSense in order to increment the number of sensors
  5. 5. 5 Basic Back-end is in charge of receiving, processing and show data for analysis, the data coming from the Smartphones can be queried and shown in many ways • The server allows to visualize the data coming from the Smartphones in a cartographic map by using a series of filters and layers • Data can be filtered by sensor unit, period, time, activity, location, etc. • In addition, data can be exported to an interchange format to enable external analysis. Heat map for the mobile coverage area Aggregated dots map with one expanded group
  6. 6. 6 Basic Noise pollution map Activity map (walking, by bike, etc.) Average road speed map Maximum road speed map
  7. 7. 7 Basic Daily animated map Animated map by period Density map Common Tracks/Paths map
  8. 8. 8 Advanced It’s a Big Data environment with a large capacity for massive data analysis Azure’s BigData environment (HDInsight) enhance the capabilities of the basic CrowdAnalytics solution. It allows to perform in-depth data analysis by crossing, by example, data of given areas, given time zones, given displacement speeds, activity frequency patterns and a long etc. Resource related strategic planning are among its best possible usages for a SmartCity.
  9. 9. 9 Benefits for the Citizen and the Administration Benefits for the citizen The benefits for the citizen are, initially; the access to public and pre-processed data and, globally, the improvement of the services that he receives. All this is a consequence of his contribution as a living sensor within the city. There are several informative, human care and social App’s. The capability to detect different situations and the environment in which the proposed App lives, allows it to react in advance to possible user needs that the City must provide The system is configured as a smart assistant capable of collecting information of the type:  Population mobility index of any area  Usual pathways & daily commute status  Better & faster Smartphone location services  Displacement speed and means of transport  Highways early warning of incidents  Information of your activities (activity, time, distance, place, etc..) Benefits for the administration The benefit for the administration is the ownership and the capability of using the obtained data in real time. This allows to obtain a constant flow of data who enables the SmartCity:  To continuously get a population mobility index on any area, time-slot and means  To Identify different behavior patterns and mixed, related resource usage.  To guarantee the coverage of mobile networks (specially for emergency calls)  To control instant/accumulated noise pollution over a given set of user profiles  To detect unplanned changes on electromagnetic pollution and energy activities  To monitor tourist behavior when embedded on a city services / welcome APP  Direct savings on specialized sensors investment and indirect by wiser resource usage
  10. 10. Adrián Latorre Di Leo Solution Manager Mobile Solutions C/ Llacuna 56-70 Barcelona, 08005 - España Tel. : +34 93 272 32 20 Mob. : +34 655 84 10 51 Fax : +34 93 363 77 01 adrian.latorre@altran.com www.altran.es www.altran360.es @altran_es www.linkedin.com/company/altran-espana Download PDF

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