Home Journals Articles Updates About
CN
image
收藏切换
Research on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks
收藏切换
PDF
Xudong Zhang1, 2, Ya Wen1, 2, Yingqun Liu1, 2, Yuan Zou1, 2, Wenjing Sun1, 2, Ziyan Wu1, 2
Automotive Engineering | 2025, 47(3) : 391 - 401
Less
收藏切换
Automotive Engineering | 2025, 47(3): 391-401
• Feature Topic：Key Technologies on Intelligent and Connected Vehicles •
Research on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks
Full
Xudong Zhang1, 2, Ya Wen1, 2, Yingqun Liu1, 2, Yuan Zou1, 2, Wenjing Sun1, 2, Ziyan Wu1, 2
Affiliations
  • 1 School of Mechanical Engineering，Beijing Institute of Technology，Beijing 100081
  • 2 Beijing Institute of Technology，National Engineering Research Center for Electric Vehicles，Beijing 100081
Published: 2025-03-25 doi: 10.19562/j.chinasae.qcgc.2025.03.001
Outline
收藏切换

With the rapid development of the electronic and electrical architecture of intelligent and connected vehicles, the demand for realtime reliability in invehicle communication networks has significantly increased. In this context, TimeSensitive Networking (TSN) has become a critical technology to meet the demand. In this paper, the implementation of the IEEE 802.1CB protocol in vehicular networks is realized, filling the gap in current research regarding the combined use of link redundancy transmission and routing planning. An innovative multipath routing strategy is proposed which balances network efficiency and reliability through dualpath transmission involving both primary and redundant paths. The core contribution of this study includes: (1) a novel NSGA2based primary path routing algorithm, which achieves the dual objectives of load balancing and low latency through intelligent path planning, and (2) an improved Dijkstrabased redundant path routing algorithm, which ensures highreliability transmission for information flows with varying priority levels. Finally, a hardwaresoftware integrated experimental framework is proposed, demonstrating that the proposed algorithms outperform existing comparison algorithms by 18.19% to 62.29% in terms of load balancing and endtoend latency, while also enhancing network reliability by 19.18% to 42.87%.

time-sensitive network（TSN）  /  routing planning  /  link redundancy transmission  /  NSGA2 algorithm  /  Dijkstra algorithm
Xudong Zhang, Ya Wen, Yingqun Liu, Yuan Zou, Wenjing Sun, Ziyan Wu. Research on Path Planning Algorithms for In-Vehicle Time-Sensitive Networks[J]. Automotive Engineering, 2025 , 47 (3) : 391 -401 . DOI: 10.19562/j.chinasae.qcgc.2025.03.001
Appendix
Less
Year 2025 volume 47 Issue 3
PDF
348
136
Cite this Article
BibTeX
Article Info
doi: 10.19562/j.chinasae.qcgc.2025.03.001
  • Receive Date：2024-05-11
  • Online Date：2025-07-09
  • Published：2025-03-25
Article Data
Affiliations
History
  • Received：2024-05-11
  • Revised：2024-09-06
Funding
Affiliations
    1 School of Mechanical Engineering，Beijing Institute of Technology，Beijing 100081
    2 Beijing Institute of Technology，National Engineering Research Center for Electric Vehicles，Beijing 100081
References
Share
https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.03.001
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House