Crowdsensing for Smart Cities

Smart applications rely on collecting available information from sensor networks in and around the city and make the operation of public services (like lighting, heating, garbage collection, etc.) intelligent. Crowdsensing is a novel way for data collection, particularly in densely populated areas where insuring the appropriate number of sensing users is easier. Therefore its application in smart cities is beyond dispute. Crowdsensing has use-cases in smart city concepts alone and alongside with sensor networks as an additional technology that involves human intelligence in the sensing process. Many crowdsensing applications address tasks related to urban transportation systems, which include the tracking of public vehicles (buses, trams, subways and rentable bikes) or others like mapping bumps on the road to quickly inform authorities where to intervene. Public safety is another category of applications where the power of the crowd is used to indicate unusual/abnormal behaviour of people, extreme situations like riots, demonstrations and similar.

Research topics
  • Crowdsensing for mass event surveillance
  • Crowdsensing for urban transport optimization
  • Behavior prediction in smart cities based on mobile crowdsensing
Latest results
  • Development of an integrated mass surveillance system based on crowdsensing data (to be tested on festivals)
  • Ericsson High Speed Networks (HSN) CFT project
    • Mobile crowdsensing in smart cities, 2014
  • Digital community places of the future – project by EIT Digital
    • Application of crowdsensing in public transport tracking