佛山科学技术学院学报（自然科学版）2024，Vol.42Issue(4)：1-9,9.
基于数字孪生的异常天气下车辆路径规划建模
Vehicle path planning modeling under abnormal weather based on digital twins
摘要
Abstract
In order to solve the problem of shortage of training samples in vehicle path planning due to the uncertainty of sensor data collection in the current automatic driving system under abnormal weather,the digital twin technology was applied to vehicle planning and control in complex road conditions of the automatic driving system.By building the digital twin framework of the automatic driving planning and control system,the physical entity data and virtual data are fused to expand the twin data under abnormal weather,and the numerical optimization planning algorithm is adopted to plan the complex road conditions under abnormal weather,and the model predictive control algorithm(MPC)is simulated to realize the vehicle's tracking of the optimal path.It shows the high efficiency and convenience of using digital twin technology to create simulated abnormal weather,and verifies the feasibility of using twin data for vehicle trajectory planning and tracking.关键词
异常天气/自动驾驶/数字孪生/数值优化/轨迹跟踪Key words
abnormal weather/autonomous driving/digital twins/numerical optimization/trajectory tracking分类
信息技术与安全科学引用本文复制引用
徐瑞萍,郭昌鑫..基于数字孪生的异常天气下车辆路径规划建模[J].佛山科学技术学院学报（自然科学版）,2024,42(4):1-9,9.基金项目
教育部人文社会科学研究规划基金项目(23YJAZH170) （23YJAZH170）
