  This research proposal aims to use cognitive methods to analyze the quality
of roads based on the new proposed technology called Cognitive Internet of
Vehicles (CIoV). By using Big Data corresponding to the collected data of
autonomous vehicles, we can apply cognitive analytics to a huge amount of
transportation data. This process can help us to create valuable information
such as road quality from an immense volume of meaningless data. In this
proposal, we are going to focus on the quality of roads for various business
and commercial purposes. The proposed system can be used as an additional
service of autonomous car companies or as a mobile application for ordinary
usages. As a result, this system can reduce the usage of resources such as
energy consumption of autonomous vehicles. Moreover, this technology benefits
the next-generation of self-driving applications to improve their QoS.
