| Issue |
Security and Safety
Volume 5, 2026
Security and Safety in Intelligent Connected Vehicle
|
|
|---|---|---|
| Article Number | 2026007 | |
| Number of page(s) | 4 | |
| Section | Industrial Control | |
| DOI | https://doi.org/10.1051/sands/2026007 | |
| Published online | 25 April 2026 | |
Commentary
Problems and challenges in LLM-based intelligent traffic motion prediction under cyberattacks
1
College of Electronics and Information Engineering, Tongji University, Shanghai 201801, China
2
Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
3
Shanghai Research lnstitute for lntelligent Autonomous Systems, Shanghai 201210, China
4
Faculty of Artificial Intelligence, Shanghai University of Electric Power, Shanghai 200090, China
* Corresponding author (email: This email address is being protected from spambots. You need JavaScript enabled to view it.
)
** Corresponding author (email: This email address is being protected from spambots. You need JavaScript enabled to view it.
)
Received:
18
December
2025
Revised:
15
January
2026
Accepted:
5
February
2026
This article has no abstract.
Citation: Yang J, Gao S, Rao K, et al. Problems and challenges in LLM-based intelligent traffic motion prediction under cyberattacks. Security and Safety 2026; 5: 2026007. https://doi.org/10.1051/sands/2026007
© The Author(s) 2026. Published by EDP Sciences and China Science Publishing & Media Ltd.
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