Study on the Influence of Deep Learning and Artificial Intelligence on Transportation and Mobility Industry and Corporations

DOI

10.2991/978-94-6463-102-9_123How to use a DOI?

Keywords

machine learning (ML); artificial intelligence (AI); transportation and mobility industry; taxi/ car-sharing

Abstract

This article explores the affect that the rise of AI-based algorithms brought to the whole transportation and mobility industry. Since this industry has such many brunches, this article mainly focuses on taxi/ car-sharing segment. By researching the related journal and documents and using Uber as a case study, we can conclude that more and more AI-based algorithms will be adopted in the industry and benefit both of the society and the corporations within the industry. However, at the same time, the lack of data and experts resources can be obstacles.

Copyright

© 2023 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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TY  - CONF
AU  - Lixiao Liu
PY  - 2022
DA  - 2022/12/29
TI  - Study on the Influence of Deep Learning and Artificial Intelligence on Transportation and Mobility Industry and Corporations
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1191
EP  - 1199
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_123
DO  - 10.2991/978-94-6463-102-9_123
ID  - Liu2022
ER  -