Exploration and Design of Intelligent Connected Vehicle Monitoring and Supervision Platform Based on Multi-Source Data

With the rapid advancement of Intelligent Connected Vehicle (ICV), the demand for monitoring and supervision of vehicles has become increasingly urgent. To address this need, this paper presents a design for an ICV monitoring and regulation platform that leverages multi-source data. By gathering information from on-board sensors, traffic surveillance cameras, and road monitoring devices, such as traffic participant data, vehicle information, traffic conditions and surrounding environmental data, this platform can integrate multi-source data to achieve real-time monitoring and analysis of ICV behavior, safety and operational status. It presents a comprehensive view of road conditions and the overall functioning of the ICV, helping managers to monitor ICV operations from a large to a small scale. By engaging with the ICV, this platform enables management and regulation of the ICV, thereby improving operational efficiency and safety. Additionally, it provides precise analysis and optimization suggestions for vehicle operating status, assisting management personnel in understanding vehicle performance and capabilities. The design of this platform offers a comprehensive and efficient solution for ICV monitoring and supervision, providing robust support for the advancement of Intelligent Transport Systems (ITS) and the widespread adoption of ICV.