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SMART ANALYTICS
Mobility Atlas
Cars as mobility sensors
Drivers’ cluster analysis
This telematics Atlas is the result of vehicle flow analysis, for both incoming and outgoing traffic, within a specific geographic area. These vehicles are tracked in relation to the business goal that a company wishes to achieve.
Understanding how to analyze a single driver behaviour may pass through a cluster analysis: cars as “mobility sensors” play a crucial role in the IoT of the city. They are adaptable sensors, right where there’s a need to survey a mobility phenomenon. The adaptive concept is related to traffic, which activates data collection. In some sense it is like cars were leaving tracks by themselves, producing “digital crumbs”.
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Drivers’ behaviour under a microscope
Mobility data represents society-wide proxies of human mobile activities. It’s a social microscope of individual, collective, and global behaviours, where data achieves a different perspective, from individual to collective mobility towards the smart cities, e.g., to understand how much traffic is possible to reduce with a car sharing service.
This type of data generated from a Mobility Atlas is crucial for utilities, mobility sharing operators (in order to know where to place the vehicles station), and to overlap different maps of a city area.