  Vehicle route prediction is one of the significant tasks in vehicles
mobility. It is one of the means to reduce the accidents and increase comfort
in human life. The task of route prediction becomes simpler with the
development of certain machine learning and deep learning libraries. Meanwhile,
the security and privacy issues are always lying in the vehicle communication
as well as in route prediction. Therefore, we proposed a framework which will
reduce these issues in vehicle communication and predict the route of vehicles
in crossroads. Specifically, our proposed framework consists of two modules and
both are working in sequence. The first module of our framework using a deep
learning for recognizing the vehicle license plate number. Then, the second
module using supervised learning algorithm of machine learning for predicting
the route of the vehicle by using velocity difference and previous mobility
patterns as the features of machine learning algorithm. Experiment results
shows that accuracy of our framework.
