Yi Liu
Yi Liu
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yi Liu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chaoyang Zhang
Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China
1 shared publication - Liang Gao
Beijing Jiaotong University
1 shared publication - Peiran Zhang
Institute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing 100044, China
1 shared publication - Senbin Yu
College of Engineering, Zhejiang Normal University, Jinhua 321004, China
1 shared publication - Yang Wang
School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an, China
1 shared publication
Latest Publications
- Open Access
- 11 December 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (24) , 4695
Critical Percolation on Temporal High-Speed Railway Networks
Deeply understanding the dynamic operating characteristics of high-speed railway (HSR) systems is of essential significance in theory and practice for the planning, construction, and operational management of HSR systems. In this paper, the HSR system is described as a temporal network, and the evolution of connected clusters in the system is considered as a percolation process. The critical integration time of the percolation process can determine the formation of a globally connected cluster and measure the transport performance of the HSR system. The appearance time of critical edges identified at can significantly affect the reliability of the transport performance of an HSR system. Compared to random percolation in the static HSR network, it can be found that the critical fraction of the percolation process in a temporal HSR network is almost always larger. This indicates that the global connectivity and the transport performance of HSR systems is overestimated by the static network abstraction. This paper provides a promising way of understanding the dynamic characteristics of HSR systems, evaluating their transport performance, and improving their reliability.- 11 December 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (24) , 4695
Open AccessCritical Percolation on Temporal High-Speed Railway Networks
Deeply understanding the dynamic operating characteristics of high-speed railway (HSR) systems is of essential significance in theory and practice for the planning, construction, and operational management of HSR systems. In this paper, the HSR system is described as a temporal network, and the evolution of connected clusters in the system is considered as a percolation process. The critical integration time of the percolation process can determine the formation of a globally connected cluster and measure the transport performance of the HSR system. The appearance time of critical edges identified at can significantly affect the reliability of the transport performance of an HSR system. Compared to random percolation in the static HSR network, it can be found that the critical fraction of the percolation process in a temporal HSR network is almost always larger. This indicates that the global connectivity and the transport performance of HSR systems is overestimated by the static network abstraction. This paper provides a promising way of understanding the dynamic characteristics of HSR systems, evaluating their transport performance, and improving their reliability.