Yang Liu
Orcid: 0000-0003-0515-1310Affiliations:
- Chongqing Jiaotong University, School of Information Science and Engineering, Chongqing, China
According to our database1,
Yang Liu
authored at least 17 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
J. Syst. Sci. Complex., August, 2024
Overview of Cooperative Fault-Tolerant Control Driven by the Full Information Chain of Intelligent Connected Vehicle Platoons Under the Zero-Trust Framework: Opportunities and Challenges.
IEEE Intell. Transp. Syst. Mag., 2024
2023
IEEE Trans. Veh. Technol., 2023
2022
Design and Analysis of Longitudinal Controller for the Platoon With Time-Varying Delay.
IEEE Trans. Intell. Transp. Syst., 2022
Sci. China Inf. Sci., 2022
2021
An Assessment Method for Traffic State Vulnerability Based on a Cloud Model for Urban Road Network Traffic Systems.
IEEE Trans. Intell. Transp. Syst., 2021
Comput. Syst. Sci. Eng., 2021
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
Proceedings of the CAA Symposium on Fault Detection, 2021
Formal verification of special vehicle priority traffic signal light control system based on TPN and Z.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Research on Color Normalization of Traffic Sign Image Based on Surface Segmentation and Improved K-means Clustering Algorithm.
Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020
2019
An Improved LSSVM Fault Diagnosis Classification Method Based on Cross Genetic Particle Swarm.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Identification and Prediction of Urban Traffic Congestion via Cyber-Physical Link Optimization.
IEEE Access, 2018
2016
Sparse Non-negative Matrix Factorization with Generalized Kullback-Leibler Divergence.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016