Applications of Cloud Computing in Intelligent Vehicles: A Survey
Keywords:
Intelligent vehicles, Cloud computing, Data storage and processing, Vehicle-to-vehicle communication, Autonomous driving technologiesAbstract
The rising popularity of intelligent vehicles has led to a significant surge in the volume of data that these vehicles generate. As a result, there is an urgent need for effective and efficient data storage, processing, and analysis techniques to support the development of advanced intelligent vehicle systems. Cloud computing has emerged as a promising solution to address the challenges associated with the large volume of data generated by intelligent vehicles. This research paper explores the various applications of cloud computing in intelligent vehicles. The study begins by providing an overview of the intelligent vehicle architecture and the role of cloud computing in this architecture. It then proceeds to explore the different types of cloud computing services and their relevance to intelligent vehicles. Cloud computing is revolutionizing the automotive industry by offering a range of applications that enhance the efficiency, safety, and entertainment of intelligent vehicles. Real-time traffic updates are one such application that can help vehicles adjust their routes to avoid congestion and save time. Additionally, cloud computing can be used for predictive maintenance by analyzing data from intelligent vehicles to predict when a vehicle will need maintenance, reducing downtime and increasing efficiency. Vehicle-to-vehicle communication is another benefit of cloud computing, enabling vehicles to communicate with each other and share information about traffic conditions, weather, and other factors that could affect their journey. Fleet management is also made easier with cloud computing, as it allows for tracking vehicle locations, managing maintenance schedules, and optimizing routes. Furthermore, cloud computing can support the development of autonomous driving technologies by providing the processing power and data storage necessary to analyze vast amounts of data in real-time. Finally, cloud computing can offer infotainment services to passengers in intelligent vehicles, including access to music, movies, and other entertainment options. The study identifies the applications of using cloud computing in intelligent vehicles and highlights the need for further research in this area. The findings of this study have implications for the automotive industry, policymakers, and researchers who are interested in the use of cloud computing in intelligent vehicles.