Xiaonan Rong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xiaonan Rong has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Bo Peng
School of Smart City, Chongqing Jiaotong University, Chongqing, China
1 shared publication - Ruru Xing
College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
1 shared publication - Tao Yang
Chongqing Linggu Transportation Technology Co., Ltd., Chongqing 400064, China
1 shared publication - Xiaoyu Cai
School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
1 shared publication - Zimu Li
College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
1 shared publication
Latest Publications
- Open Access
- 4 May 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (9) , 7543
Research on Calculating Traffic Capacity in Extra-Long Subsea Tunnels—A Case Study of the Qingdao Jiaozhou Bay Subsea Tunnel
Analyzing the traffic capacity of extra-long tunnels is crucial in assessing their sustainable capacity. However, previous studies on tunnel capacity mainly considered the influence of a single factor, ignoring the interaction between multiple factors, which cannot reflect the actual tunnel capacity. Therefore, considering the influence of multiple factors, this paper constructs an actual capacity calculation model for extra-long tunnels. Firstly, by combining hierarchical analysis and the entropy method, we determined the key factors that influence the capacity of extra-long tunnels. Secondly, based on the constructed traffic simulation model, we constructed an actual capacity model of extra-long tunnels by using multiple non-linear regression equations and tested the goodness of fit with the help of the misfit term. Finally, we determined the key correction coefficients of the model using the difference proportion method. Taking Qingdao Jiaozhou Bay undersea Tunnel as an example, the research results show that the method proposed in this paper can accurately determine the tunnel capacity with an error of less than 4%, providing a theoretical basis and practical guidance for the management and control of the tunnel’s sustainable carrying capacity after traffic congestion.
- 4 May 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (9) , 7543
Open AccessResearch on Calculating Traffic Capacity in Extra-Long Subsea Tunnels—A Case Study of the Qingdao Jiaozhou Bay Subsea Tunnel
Analyzing the traffic capacity of extra-long tunnels is crucial in assessing their sustainable capacity. However, previous studies on tunnel capacity mainly considered the influence of a single factor, ignoring the interaction between multiple factors, which cannot reflect the actual tunnel capacity. Therefore, considering the influence of multiple factors, this paper constructs an actual capacity calculation model for extra-long tunnels. Firstly, by combining hierarchical analysis and the entropy method, we determined the key factors that influence the capacity of extra-long tunnels. Secondly, based on the constructed traffic simulation model, we constructed an actual capacity model of extra-long tunnels by using multiple non-linear regression equations and tested the goodness of fit with the help of the misfit term. Finally, we determined the key correction coefficients of the model using the difference proportion method. Taking Qingdao Jiaozhou Bay undersea Tunnel as an example, the research results show that the method proposed in this paper can accurately determine the tunnel capacity with an error of less than 4%, providing a theoretical basis and practical guidance for the management and control of the tunnel’s sustainable carrying capacity after traffic congestion.