On the other hand, community sensing pertains to the monitoring of large-scale phenomena that cannot easily be measured by a single individual. For example, intelligent transportation systems may require traffic congestion monitoring
and air pollution level monitoring. These phenomena can be measured accurately only when many individuals provide speed and air quality information from their daily commutes, which are then aggregated spatio-temporally to determine congestion and pollution levels in cities.