Intelligent mobility management in emerging vehicular networks

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***Vehicular networks are*emerging networks that make it possible to connect vehicles to one another and to*link them with road infrastructures. Managing mobility in such networks raises several*challenges we wish to address in this proposal. These networks make it possible*to implement different types of applications: safety applications to avoid*collisions and road work for example, real-time applications for automated*driving assistance, intelligent transport system (ITS) applications to manage traffic*and suggest detours amongst others, comfort applications such as automatic toll*payments on motorways, connection to online multimedia content, etc. To*function efficiently, the vehicle has an increased need for computing power as*well as a nearly-continuous connection. The*research program we hereby present focuses on intelligent mobility management in*emerging vehicular networks. It covers areas as broad as mobile networks,*artificial intelligence, machine learning, data science and mathematical*optimization, in order to address road congestion created by vehicles and causing*traffic jams. ******The main objective of this*research program is to design intelligent methods, algorithms and tools to efficiently*manage vehicular mobility in real time through traffic congestion prediction,*detection and control. In the longer term, this research program aims at proposing*a mobility management architecture for next-generation ad-hoc vehicular*networks based on machine learning and endowed with the ability to predict*traffic congestion or to reduce it. To achieve this objective, we propose*an approach based on the four Vs that characterize big data: Volume, Variety,*Veracity and Variability. Our long-term architecture will allow to collect,*extract and understand relevant information from network generated data and*users in order to infer strategic actions and decisions to detect, control and*predict traffic congestion and provide better quality of service as well as an*improved experience to road users.******Mobility*management in emerging vehicular networks is a problem of great importance both*from the point of view of scientific research and the commercial expansion in*autonomous vehicles. It raises many challenges that condition the adoption of*these networks. In fact, vehicular networks will make possible various*applications: road safety applications, efficient transport applications,*surveillance applications.