VR Based Digital Twin analysis For Driving Risks Using MATLAB

Abstract

MATLABSolutions demonstrate A digital twin is a mapping of real world objects in virtual space. For the study of traffic safety issues, digital twins have great potential to facilitate more accurate and detailed risk analysis. In this study, a digital twin method for highway driving safety analysis is proposed, which consists of three parts: Extracting vehicle motion information in the real world, constructing vehicle motion scenes in the virtual world, and analyzing vehicle driving risks. Firstly, aerial video of vehicle motion is captured by drone, while the microscopic vehicle trajectories are extracted from the video using machine vision algorithms. Secondly, the digital twin of vehicles and roads is constructed, while the motion behavior of vehicles is mapped in a digital space based on virtual physical simulation technology. Finally, according to the stability and trajectory deviation, the driving risks of the vehicle are evaluated, including sideslip, rollover, and guardrail collision. Through a case study, the effectiveness of the proposed digital twin method in driving risk assessment is verified, and one vehicle is found to have a higher driving risk.

Introduction—

Traffic safety has always been one of the key issues restricting the development of expressways. The safety problem of expressway is different from that of ordinary highway, because it has the characteristics of closed management and fast vehicle speed. In contrast, the problem of vehicle loss of control (accidents such as sideslip, tail drift, rollover, etc.) caused by road geometry and road surface conditions is more prominent in expressways . Due to the limitation of various factors, it is difficult to simulate the expressway driving environment for real vehicle test indoors, which makes virtual simulation an important method to study traffic safety issues. However, both dynamic simulation and virtual driving simulation are different from the realworld vehicle motion state.

A digital twin is defined as a digital replica of a real entity in the physical world, which has more interaction and fusion with real-world data than traditional virtual simulation. Digital twins present new ideas for the study of traffic safety issues. A large number of scholars have applied the concept of digital twins in autonomous driving research, and judged the risk of a vehicle crash through data collection and analysis, so as to realize vehicle active safety control. Dygalo et al. applied virtual and physical simulation techniques to active vehicle safety systems and designed a braking model that controls each wheel. Pagliari et al. develop a complete digital twin model of Cor-Ten road barriers to simulate vehicle collisions. In addition, some scholars build vehicle simulators and environment virtual systems through virtual reality (VR) technology to examine the prediction of vehicle driving states.