2020/04/16 by Hamed Rahimi, Rahimi, Hamed, Dhayananth Dharmalingam +1 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Big data #Blockchain Technology Applications and Security #Business #Computer science #Computers and Society (cs.CY) #Data mining #Energy consumption #Engineering #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Marketing #Process (computing) #Quality (philosophy) #Quality of service #Service (business) #Telecommunications #The Internet #Traffic Prediction and Management Techniques #Transport engineering #World Wide Web #cs.AI #cs.CY
paper · pdf · doi:10.48550/arxiv.2004.09287
published in arXiv (Cornell University) (Cornell University)
arxiv created 2020/04/16 · openalex publication_date 2020/04/16 · arxiv updated 2020/04/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.