Issue |
SHS Web Conf.
Volume 196, 2024
2024 International Conference on Economic Development and Management Applications (EDMA2024)
|
|
---|---|---|
Article Number | 03007 | |
Number of page(s) | 4 | |
Section | Management Applications | |
DOI | https://doi.org/10.1051/shsconf/202419603007 | |
Published online | 26 August 2024 |
Innovative Practices for IoT Scenarios: A Case Study of Driverless Shared Cars
1 Huzhou Institute of Zhengjiang University, Huzhou, Zhejiang, China
2 School of Humanities, Tsinghua University, Beijing, China
* gordon_weijie_lai@outlook.com
** yuying.wang29@outlook.com
As a new type of digital product, driverless shared cars will become an important part of the intelligent public transportation system. This paper aims to use driverless shared vehicles to carry out a comprehensive digital transformation of transportation, that is, to remotely control the driverless through the man-machine interface, and turn the taxi into a remote-controlled car controlled by a remote center. Compared with existing technology and business models, the technical framework and operational idea of driverless shared cars proposed in this paper have great advantages. It can not only reduce per capita carbon emissions and travel costs, but also promote efficient management of transportation and cities. This study can be also adapted to various countries in the world due to its flexibility. After summarizing and analyzing different driverless and shared car technology schemes, this paper predicts the profitability of cruise taxis after adopting this model, puts forward feasible design schemes, and looks forward to its development prospects all over the world.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.