Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)

Empowering New Productive Forces in the Intelligent Connected Vehicle Industry with Data Element

Authors
Zongshuang Jiao1, 2, *, Haijun Wang1, 2, Muze Zhang1, 2, Yufei Wu1, 2, Linlin Zhou1, 2
1CATARC Intelligent and Connected Technology Co., LTd., No.68, East Xianfeng Road, Dongli District, Tianjin, China
2China Automotive Carbon Digital Technology Center Co., LTd., No. 188 West Nan Si Huan Road, No. 2 District, Fengtai District, Beijing, China
*Corresponding author. Email: jiaozongshuang@catarc.ac.cn
Corresponding Author
Zongshuang Jiao
Available Online 28 September 2024.
DOI
10.2991/978-94-6463-514-0_73How to use a DOI?
Keywords
New Productive Forces; Data Element; Intelligent Connected Vehicle; Future Development
Abstract

New productive forces as a product of the integration and development of technological innovation and industrial transformation, are the main characteristics of the digital economy era. Data as a new factor of production, has become a key engine for promoting new quality productivity. Intelligent connected vehicle data can be divided into three parts: user personal information, vehicle data, and external data. This article analyzes the empowerment of new productive forces in the automotive industry from multiple scenarios, they are automatic data collection to provide decision-making basis for intelligent driving; Data security interaction provides strong support for communication authentication; Intelligent data analysis to provide platform services for smart transportation; Internal data interoperability provides tool support for digital management; Data green advancement provides inexhaustible power for low-carbon transformation; Industry circulation and providing a bridge for cooperation in the industrial ecosystem. This article proposes three suggestions for the future development of intelligent connected vehicle data elements: improving the automotive data infrastructure system, constructing automotive data infrastructure, and establishing a mechanism for automotive data ownership.

Copyright
© 2024 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 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
Series
Advances in Engineering Research
Publication Date
28 September 2024
ISBN
978-94-6463-514-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-514-0_73How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Zongshuang Jiao
AU  - Haijun Wang
AU  - Muze Zhang
AU  - Yufei Wu
AU  - Linlin Zhou
PY  - 2024
DA  - 2024/09/28
TI  - Empowering New Productive Forces in the Intelligent Connected Vehicle Industry with Data Element
BT  - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
PB  - Atlantis Press
SP  - 751
EP  - 759
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-514-0_73
DO  - 10.2991/978-94-6463-514-0_73
ID  - Jiao2024
ER  -