Application of vehicle digital management system based on driving behavior analysis

Application of vehicle digital management system based on driving behavior analysis

연구 분야: Software Development

학회: 2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)

On the one hand, the analysis model of safe driving is studied to provide a data model for the analysis of driver's driving behavior. By collecting driving behaviors such as driving times, mileage, acceleration and deceleration, turning, and driving rules, a multi- dimensional safe driving analysis model is established to objectively reflect the real driving situation of the driver, provide a basis for the analysis of the driver's driving behavior, and analyze the basic data of the vehicle. The methods of acquisition and video image acquisition and analysis can effectively intervene in the driver's driving behavior and driving habits, which can minimize the occurrence of traffic accidents. On the other hand, with the driver's driving behavior analysis model as the core, a set of Internet of Vehicles application systems that meet the requirements of improving vehicle utilization, avoiding private use of public vehicles, intelligent vehicle scheduling, and refined expense reimbursement will be constructed to lay the foundation for the development of vehicle management.