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Viewpoint | Open Access

The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020)

Qing Xu1, Keqiang Li1( ), Jianqiang Wang1, Quan Yuan1, Yanding Yang2, Wenbo Chu3
School of Vehicle and Mobility, Tsinghua University, Beijing, China
Dongfeng Automobile Co., Ltd., Wuhan, China
China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd., Beijing, China
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Abstract

Purpose

The rapid development of Intelligent and Connected Vehicles (ICVs) has boomed a new round of global technological and industrial revolution in recent decades. The Technology Roadmap of Intelligent and Connected Vehicles (2020) comprehensively analyzes the technical architecture, research status and future trends of ICVs. The methodology that supports the roadmap should get studied.

Design/methodology/approach

This paper interprets the roadmap from the aspects of strategic significance, technical content and characteristics of the roadmap, and evaluates the impact of the roadmap on researchers, industries and international strategies.

Findings

The technical architecture of ICVs as the “three rows and two columns” structure is studied, the methodology that supported the roadmap is explained with a case study and the influence of key technologies with proposed development routes is analyzed.

Originality/value

This paper could help researchers understand both thoughts and methodologies behind the technology roadmap of ICVs.

Keywords

Technology roadmapICVsInfluence analysis

References

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Journal of Intelligent and Connected Vehicles
Volume 5 Issue 1,
February 2022
Pages 1-7
DOI: 10.1108/JICV-07-2021-0010

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Cite this article:
Xu Q, Li K, Wang J, et al. The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020). Journal of Intelligent and Connected Vehicles, 2022, 5(1): 1-7. https://doi.org/10.1108/JICV-07-2021-0010

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Received: 12 July 2021
Revised: 22 September 2021
Accepted: 21 November 2021
Published: 07 January 2022
© 2022 Qing Xu, Keqiang Li, Jianqiang Wang, Quan Yuan, Yanding Yang and Wenbo Chu. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode