Analysis of intelligent and connected vehicles driving system modeling

Abstract

In response to the limitations of traditional offline static simulation modeling technology in accurately addressing the intricacies and complexities of intelligent and connected vehicles (ICVs) driving processes, this paper introduces the concept of an ICV driving system (ICVDS) model based on digital twin technology. Firstly, the paper delves into the theory of ICVDS digital twin modeling, covering aspects such as model elements and the operational mechanism of the model. The ICVDS, which relies on digital twin (DT) technology, is designed in accordance with the characteristics of ICVs, their technical requirements, and the architecture of the DT system. Subsequently, the paper explores four key areas: the modeling of driving elements, the modeling of the driving process, simulation modeling of the driving process, and a summary of modeling technology. The section on modeling driving elements primarily elucidates the methodology for creating twin models and illustrates how these models describe the system’s functionality in controlling the subject. The segment on modeling the driving process elucidates the approach to real-time data-driven modeling. The part on driving process simulation modeling explains the methodology for establishing simulation models and demonstrates how they predict the future state of the subject. Lastly, the paper introduces the construction of autonomous driving test scenarios based on ICVDS.