Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Exploration of the Application of Swarm Intelligence in Cooperative Driving

Authors
Runze Tian1, *
1School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Shandong, 264200, China
*Corresponding author. Email: 202300800533@mail.sdu.edu.cn
Corresponding Author
Runze Tian
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_25How to use a DOI?
Keywords
Swarm Intelligence; Cooperative Driving; Intelligent Transportation Systems
Abstract

Swarm intelligence (SI), a nature-inspired distributed computational approach, has emerged as a promising solution within the domain of cooperative driving. This research paper investigates the theoretical foundations and practical implementations of classical swarm intelligence algorithms, focusing on their integration into intelligent transportation systems. Key areas of application, such as vehicle platooning, path planning, and traffic flow optimization, are examined to assess the real-world performance and technological advantages of swarm intelligence. Notably, swarm intelligence demonstrates exceptional capabilities in dynamic adaptation and global optimization, contributing significantly to improvements in both traffic efficiency and safety. The findings indicate that, through its decentralized and adaptive characteristics, swarm intelligence not only enhances the operational efficiency of cooperative driving systems but also provides critical theoretical and practical support for the development of safe, sustainable, and intelligent transportation infrastructures. Future research should focus on the deep integration of lightweight algorithm design and emerging technologies to provide support for building an efficient, safe and green transportation system.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_25How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Runze Tian
PY  - 2025
DA  - 2025/08/31
TI  - Exploration of the Application of Swarm Intelligence in Cooperative Driving
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 222
EP  - 231
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_25
DO  - 10.2991/978-94-6463-821-9_25
ID  - Tian2025
ER  -