Many applications have been trying to leverage the data lake since its launch. The application scenarios of data analytics on the Internet of Vehicles are shown below:
The first scenario is the collection of car owner data. Car owners can access data via mobile apps or in-vehicle applications. Based on the collected behaviors, car owners are classified into groups to achieve precision service marketing.
The second scenario is services-related. The analysis of the churn rate helps to identify which steps caused the churn of car owners during their data access process, so as to optimize the access process and reduce the churn rate.
The third scenario is the collection of vehicle trajectory data. This can result in some derivative services, such as designated driving and more data dimensions.