Open Access3D Digital Twin of Intelligent Transportation System based on Road-Side Sensing
Author(s) -
Yunpeng Guo,
Kai Zhang,
Shengdong Chen,
Feng Yuan,
F. Richard Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/3/032022
Subject(s) - intelligent transportation system , bridge (graph theory) , component (thermodynamics) , computer science , position (finance) , key (lock) , real time computing , transport engineering , engineering , computer security , business , medicine , thermodynamics , physics , finance
Cooperative vehicle-infrastructure is one of the most import developing direction of future intelligent transportation system, while digital twin system can record, reproduce, and even deduce the physical system, which could be helpful for the development of cooperative vehicle-infrastructure. In this study, we proposed a 3D digital twin platform of intelligent transportation system based on road-side sensing, a core component of cooperative vehicle-infrastructure system. This platform consists of real road-side sensing unit,3D virtual environment, and the ROS bridge between them, by receiving the sensing results of physical world in real-time, the virtual world can reproduce the compatible road traffic information, such as the type,3D position and orientation of traffic participants.