Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

Achieving sustainable freight transport and citizens’ mobility operations in modern cities are becoming critical issues for many governments. By analyzing big data streams generated through IoT devices, city planners now have the possibility to optimize traffic patterns. combined with innovative concepts as well emerging modes (e.g., ridesharing carsharing) constitute a new paradigm optimized smart cities. Still, these highly dynamic scenarios, which also subject high uncertainty degree. Hence, factors such real-time optimization re-optimization of routes, stochastic travel times, evolving customers’ requirements status be considered. This paper discusses main challenges associated Internet Vehicles (IoV) vehicle networking identifies underlying problems that need solved real time, proposes an approach combine use IoV parallelization approaches. To this aim, agile distributed machine learning envisaged best candidate algorithms develop efficient systems.