The Digital Transformation of Cars
These authors contributed equally.
- DOI
- 10.2991/aebmr.k.220603.050How to use a DOI?
- Keywords
- Digital transformation; Automobile; Sensor; Cloud computing; 5G
- Abstract
With the development of science and technology, digital technology is gradually applied in all walks of life to improve efficiency and function. The automobile industry is also involved in this digital transformation, and the networked automobile is the product of automobile digitalization. Vehicle to Cloud (V2C), Vehicle to Infrastructure (V2I), and Vehicle to Vehicle (V2V) technologies emerging in digitalization constantly improve people’s daily travel, but there is also a problem of low popularity. In order to deal with this problem, this paper reasonably assumes that the existing methods and technologies will be integrated into a system. Since the number of road accidents is still numerous, the V2V communication technique needs to be adopted in a brand-new driving system that is compulsory to be installed into every car. The driving system is supported by three methods: sensors, cloud computing, and 5G. Those methods can provide functionalities like information transmissions or data collection. Market situations of these three main techniques are analyzed in this article, and data shows substantial and increasing demands in those markets by estimated Compound Annual Growth Rate (CAGR) and market sizes. In addition, issues of private security and the future of intelligent car technology will also be discussed in this paper.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Yushu Cao AU - Yutong Qiu AU - Yiwei Yuan AU - Keyi Zhang PY - 2022 DA - 2022/07/01 TI - The Digital Transformation of Cars BT - Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) PB - Atlantis Press SP - 304 EP - 310 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220603.050 DO - 10.2991/aebmr.k.220603.050 ID - Cao2022 ER -