Research Article
Cyber Physical System Modeling and Analysis in Typical Scenarios Based on the Theory of Autonomous Transportation System
@INPROCEEDINGS{10.1007/978-3-031-65126-7_17, author={Zi-Sheng Zhou and Ming Cai and Zhuo-Lin Deng and Chen Xiong}, title={Cyber Physical System Modeling and Analysis in Typical Scenarios Based on the Theory of Autonomous Transportation System}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Systems. 19th EAI International Conference, QShine 2023, Shenzhen, China, October 8 -- 9, 2023, Proceedings, Part I}, proceedings_a={QSHINE}, year={2024}, month={8}, keywords={Cyber-physical system traffic system modeling autonomous transportation system}, doi={10.1007/978-3-031-65126-7_17} }- Zi-Sheng Zhou
Ming Cai
Zhuo-Lin Deng
Chen Xiong
Year: 2024
Cyber Physical System Modeling and Analysis in Typical Scenarios Based on the Theory of Autonomous Transportation System
QSHINE
Springer
DOI: 10.1007/978-3-031-65126-7_17
Abstract
With the rapid development and application of sensing, computing and controlling technologies in the transportation industry, the construction of transportation cyber physical system (TCPS) relying on these three types of technologies has gradually become a research hotspot in the transportation system. However, the modeling of TCPS suffers from a lack of theoretical guidance and a single modeling hierarchy. To this end, this paper introduces the theoretical framework system of Autonomous Transport System (ATS) as the theoretical basis for TCPS scenario modeling, and sorts out the theoretical framework of ATS from five types of elements to three types of architectures to typical scenarios. Then, taking the modeling of TCPS in intersection scenario as an example, the physical layer of the model is constructed by mapping the physical objects, information flow, and information interaction pairs in the ATS scenario architecture, and the cyber layer of the model is designed by the service implementation logic of ATS, and through the process of data generation and application to achieve the integration of the two layers of applications. After the model was constructed and simulations were implemented, the functional integrity of the scenario reflected by the model was analyzed qualitatively, and the results of specific traffic indicators under different parameters were analyzed quantitatively to verify the integrity and validity of the model.
