as a virtual copy of the urban area
The online demo presents the model of urban area as a complex cyber-physical system having its structure corresponding to the specific city. It runs on the city server and receives big data streams from various data sources about ongoing processes and transforms the information into rich set of custom information services and controls. The cyber-physical systems in the city can communicate and cooperate with each other and with citizens in real time over the Internet of Things and Services. The both internal and cross-organizational services are offered and utilized by participants of the value chain.
The sample generic model of urban area is realized accordingly to the ISO 37120:2014 including its definitions of themes and urban indicators. It can be used as the illustration of the modeling principles and as the template for development of the actual local version of the particular urban area.
To illustrate rich set of options for developing realistic complex Smart City applications the demo Smart City Model was provided with a number of typical sample urban area objects, data sources and optional controls. Each of them reveals information about the status of real cyber-physical object or process taking place in the urban area in real time.
The Smart City Model provides comprehensive vision of city processes ranging from the simple measurements of city pollution, city noise, traffic congestion in diverse locations, status of objects providing services to citizens, etc to complex aggregated urban models revealing ongoing urban transformations. This holistic view can be available to citizens, tourists and city administration in real time and presented on the City Map of Life, Monitor dashboard, interactive reports and personalized events.
Supported by advanced analytics the solution fosters quality of life and sustainable development goals that address economic growth and efficiency, ecological and infrastructural construction, environmental protection, social and welfare progress. The build in benchmarking options facilitate simple and easy comparison and analysis “The Policy => The Impact” between two or more cities.
Overview of Smart City Model running as demo
The model contains the following main groups of objects
1. Complete ISO 37120:2014 model with its urban themes e.g. Energy, Environment, Finance, Water, Waste, etc, relevant core indicators and auxiliary urban indicators introduced for calculation of the core indicators for each theme
2. The other objects presenting local businesses, services, cultural places, etc are mostly factual and has association with typical categories such as Administrative, Cultural, Educational, Medical institutions, Transportation, Sports, Recreation, Stores, Hotels, etc
3. Different types of sensors installed in the urban area providing information about specific measurements (CO2, NOx, Sound level, etc) in different geo-locations. The sensors have categories of belonging to different owners (city, state, private).
The data sources are associated with each specific civic object and used in the calculation of the object indicators. The common data update period is selected 1 day however in some ISO themes such as Energy, Water, Finance, etc it is equal to 1 month and in the Governance is equal to 1 year.
Application category: Medium-sized city
City population: ~ 50,000 citizens
Source data: Corresponds to statistical averages for cities in Europe and USA with population about 50,000.
Optional object states of the City as a whole and for each of its object – themes are formulated as “Excellent” – Green color, “Optimal” – Blue color, “Deficient”- Red color (terminology is customizable, i.e. user defined)
History of object states is calculated in daily periods for each object which has data sources and indicators; in particular it is available for ISO 37120 theme-objects (viewed by click on object status icon). The statuses for particular sample city services and objects on the map are not available as there is no real time data in the demo.
Rules for the automatic object state calculation are custom defined for each object depending on combination of latest calculated values of object indicators, its planned or acceptable targets and sub-objects (if any)
Total number of the sample map objects in all categories: 37
Total number of sample sensors on the city map: 30
Type of optional maps: OpenStreetMap or Mapbox
ISO 37120 theme-objects model
Definition of indicators and 16 sub-object themes: accordingly to ISO 37120:2014 standard “Sustainable development of communities — Indicators for city services and quality of life”
Total number of indicators for all themes-objects: 102
Total number of core indicators for all themes: 46
Total number of auxiliary indicators for all themes: 56
Total number of open data sources: 60
Time interval for data time series related to theme indicators: 12 months
Data update periods: All data has monthly updates, Governance data is updated annually, Environment data includes fine particulate matter PM2.5 and PM10 concentrations and updated daily (as application example).
Data preparation and storage: In demo version the data for ISO 37120 indicators for the sample city are generated randomly accordingly to average middle size city statistics. In real Smart City installations the open data sources could be implemented based on information from sensor networks or imported from particular city databases or files prepared by municipality staff or relevant service providers i.e. Energy, Transport, Waste management, Fire, Environment, Education, Health, etc.
Server location: This Smart City demo application model runs on dedicated host server in Germany. In implementations the Smart City server can run the City model being installed in a city building or in cloud.
Open Data transparency: All current on-line demo viewers receive updates regarding on-going events to their Smart City Monitors on-line and in real time accordingly to change identified in each source data. The server can support large number of citizen sessions, city objects and data sources depending on its hardware configuration.
Time acceleration: Demo provides possibility to vary timing of the source data updates i.e. daily events may be simulated to take place each minute. The feature is available for simulation of city development scenarios, planning and development options based on evidence data improve visibility of change processes.
- The Light Client for the Smart City Monitor runs in a browser (supported in Chrome, Safari, Firefox, Opera only) for viewing, analyzing and searching the information and maps. It does not allow full access to Smart City model, its change, adding and modification of objects, definition of indicators or data sources, etc which are realized in the Power Clients (model builder).
- The city objects presented on the City Map of Life do not have real life source data. For the purpose of illustration the Smart City Model operation some service indicators were formulated which instead of sensor data use data simulated with randomly generators (e.g. 1 measurement each 1 minute). The typical sample indicators used to present public information calculated based on IoT sensor data are as follows:
“Current free service places” (e.g. in car service location)
“Current number of customers waiting for service” (e.g. by doctor, bankmat, tickets office, etc)
“Current expected waiting time for service”
In the real Smart City implementations the City Map of Life, the Monitor dashboard and Reports would present actual performance about every city object in any necessary detail provided with the source data streams.
The current status of city objects can be presented by color icon and controlled by the Smart City server (1) automatically based on calculated indicators and change in source data streams or (2) manually by the object administration (e.g. owner of the shop, restaurant, hotel, parking place, etc). The object administration can use its Smart City client on personal mobile device or send SMS to the Smart City server or set automatic calculation of the object based on in-house information system or own sensors.
Welcome to review short video presenting and explaining these features.
Disclaimer: All sample object details including its names, descriptions, names of people, images, locations, contacts as well as the simulation of Smart City performance in time are completely factious and have no reference to real cities, people and organizations.