Weather-based road condition estimation in the era of Internet-of-Vehicles (IoV)

Modern high-end vehicles are equipped with advanced embedded computing elements and wireless connectivity capabilities. All these new features can provide new services, introducing the smart car era. This evolution has created a large network that includes cars as preliminary entities, extending the Internet of Things (IoT) to what is often referred as Internet-of-Vehicles (IoV). Thus, smart cars rise the challenge of efficient utilization of the available computational, sensing and connection potential. This paper presents a systematic methodology for combining different information sources in order to estimate the status of the car and perform specific actions. As a use case, the proposed approach considers the estimation of the road condition utilizing weather information. Specifically, it informs the driver about a recommended (dynamic) speed limit that the car should adapt to.