Research on the identification and management of vehicle behaviour based on Internet of things technology

Abstract

The behaviour analysis of the electric vehicle is helpful to grasp the running condition , improve the running efficiency and ensure the safe operation of the vehicle. With the development of Internet of things (IoT) technology, it has become a reality to monitor and analyse the car behaviour. By analysing the functional requirements of the electric vehicle behaviour analysis management system, this paper designs behaviour analysis management system of electric vehicle based on the Internet of things technology. Firstly, the basic structure of the electric vehicle behaviour analysis management system based on the Internet of things technology is constructed, and then the deep network data mining model based on Hadoop is established to analyse the vehicle behaviour. The simulation results verify the reliability of the system. In addition, compared with the traditional support vector machine algorithm, this algorithm can effectively deal with massive data and improve the prediction accuracy by 9.76%. Compared with other deep learning algorithms, it can improve the prediction accuracy by 3.64%.